{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T05:31:55Z","timestamp":1737005515900,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":177,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540475118"},{"type":"electronic","value":"9783540475187"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-47518-7_4","type":"book-chapter","created":{"date-parts":[[2007,4,5]],"date-time":"2007-04-05T17:00:28Z","timestamp":1175792428000},"page":"151-338","source":"Crossref","is-referenced-by-count":0,"title":["Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms"],"prefix":"10.1007","author":[{"given":"V.","family":"Schetinin","sequence":"first","affiliation":[]},{"given":"Valentina","family":"Zharkova","sequence":"additional","affiliation":[]},{"given":"A.","family":"Brazhnikov","sequence":"additional","affiliation":[]},{"given":"S. I.","family":"Zharkov","sequence":"additional","affiliation":[]},{"given":"Emanuele","family":"Salerno","sequence":"additional","affiliation":[]},{"given":"Luigi","family":"Bedini","sequence":"additional","affiliation":[]},{"given":"Ercan E.","family":"Kuruoglu","sequence":"additional","affiliation":[]},{"given":"Anna","family":"Tonazzini","sequence":"additional","affiliation":[]},{"given":"Damjan","family":"Zazula","sequence":"additional","affiliation":[]},{"given":"Boris","family":"Cigale","sequence":"additional","affiliation":[]},{"given":"Hiroyuki","family":"Yoshida","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"(12)","key":"4_CR1_Ref","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1109\/TMI.2002.806405","volume":"21","author":"B Acar","year":"2002","unstructured":"Acar, B., Beaulieu, C.F., Gokturk, S.B., Tomasi, C., Paik, D.S., Jeffrey, R.B., Jr., et al. (2002). Edge displacement field-based classification for improved detection of polyps in CT colonography. IEEE Trans. Med. Imaging, 21(12), 1461-1467","journal-title":"IEEE Trans. Med. Imaging"},{"key":"4_CR2_Ref","first-page":"3148","volume":"5","author":"A Ahmed","year":"2000","unstructured":"Ahmed, A., Andrieu, C., Doucet, A., & Rayner, P.J.W. (2000). On-line non-stationary ICA using mixture models. In Proc. ICASSP 2000. IEEE Signal Processing Society, 5, 3148-3151","journal-title":"Proc. ICASSP 2000. IEEE Signal Processing Society"},{"key":"4_CR3_Ref","doi-asserted-by":"crossref","first-page":"2026","DOI":"10.1109\/5.720251","volume":"86","author":"SI Amari","year":"1998","unstructured":"Amari, S.I., & Cichocki, A. (1998). Adaptive blind signal processing - Neural network approaches. Proc. IEEE, 86, 2026-2048","journal-title":"Proc. IEEE"},{"key":"4_CR4_Ref","first-page":"381","volume-title":"2nd International workshop on ICA and blind signal separation","author":"C Andrieu","year":"2000","unstructured":"Andrieu, C., & Godsill, S.J. (2000). A particle filter for model based audio source separation. In P. Pajunen & J. Karhunen (Eds.), 2nd International workshop on ICA and blind signal separation. Helsinki, FL: Helsinki University of Technology, pp. 381-386"},{"issue":"(5)","key":"4_CR5_Ref","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.crad.2003.11.017","volume":"59","author":"SM Astley","year":"2004","unstructured":"Astley, S.M., & Gilbert, F.J. (2004). Computer-aided detection in mammography. Clin. Radiol., 59(5), 390-399","journal-title":"Clin. Radiol."},{"key":"4_CR6_Ref","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1162\/089976699300016458","volume":"11","author":"H Attias","year":"1999","unstructured":"Attias, H. (1999). Independent factor analysis. Neural Comput., 11, 803-851","journal-title":"Neural Comput."},{"key":"4_CR7_Ref","first-page":"749","volume":"9","author":"V Aurich","year":"1999","unstructured":"Aurich, V., Winkler, G., Hahn, K., Martin, A., & Rodenacker, K. (1999). Noise reduction in images: Some recent edge-preserving methods. J. Pattern Recog. Image Anal., 9, 749-766","journal-title":"J. Pattern Recog. Image Anal."},{"issue":"(1)","key":"4_CR8_Ref","first-page":"153","volume":"125","author":"G Avilo","year":"2001","unstructured":"Avilo, G., Broda, K., & Gabbay, D. (2001). Symbolic knowledge extraction from trained neural networks. Artif. Intell., 125(1), 153-205","journal-title":"Artif. Intell."},{"key":"4_CR9_Ref","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1046\/j.1365-8711.2000.03751.x","volume":"318","author":"C Baccigalupi","year":"2000","unstructured":"Baccigalupi, C., Bedini, L., Burigana, C., De Zotti, G., Farusi, A., Maino, D., Maris, M., Perrotta, F., Salerno, E., Toffolatti, L., & Tonazzini, A. (2000). Mon. Not. R. Astron. Soc., 318, 769-780","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR10_Ref","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1111\/j.1365-2966.2004.08168.x","volume":"354","author":"C Baccigalupi","year":"2004","unstructured":"Baccigalupi, C., Perrotta, F., De Zotti, G., Smoot, G.F., Burigana, C., Maino, D., Bedini, L., & Salerno, E. (2004). Extracting cosmic microwave background polarization from satellite astrophysical maps. Mon. Not. R. Astron. Soc., 354, 55-70","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR11_Ref","volume-title":"Proceedings of the eighteenth conference on uncertainty in artificial intelligence","author":"FR Bach","year":"2002","unstructured":"Bach, F.R., & Jordan, M.I. (2002). Tree-dependent component analysis. Proceedings of the eighteenth conference on uncertainty in artificial intelligence. San Francisco: Morgan Kauffmann"},{"key":"4_CR12_Ref","first-page":"57","volume-title":"Proceedings of the 1st IEEE conference on evolutionary computation","author":"T B\u00e4ck","year":"1994","unstructured":"B\u00e4ck, T. (1994). Selective pressure in evolutionary algorithms: A characterization of selection mechanisms. In Proceedings of the 1st IEEE conference on evolutionary computation. Piscataway, NJ: IEEE Press, pp. 57-62"},{"key":"4_CR13_Ref","doi-asserted-by":"crossref","unstructured":"Bader, D.A., Jaja, J., Harwood, D., & Davis, L.S. (1996). Parallel algorithms for image enhancement and segmentation by region growing with experimental study. Proc. IEEE IPPS-96, 414","DOI":"10.1109\/IPPS.1996.508089"},{"issue":"(4)","key":"4_CR14_Ref","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1145\/235815.235821","volume":"22","author":"CB Barber","year":"1996","unstructured":"Barber, C.B., Dobkin, D.P., & Huhdanpaa, H.T. (1996). The quickhull algorithm for convex hulls. ACM Trans. Math. Soft., 22(4), 469-483","journal-title":"ACM Trans. Math. Soft."},{"key":"4_CR15_Ref","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1111\/j.1365-2966.2004.07802.x","volume":"351","author":"RB Barreiro","year":"2004","unstructured":"Barreiro, R.B., Hobson, M.P., Banday, A.J., Lasenby, A.N., Stolyarov, V., Vielva, P., & G\u00f3rski, K.M. (2004). Foreground separation using a flexible maximumentropy algorithm: An application to COBE data. Mon. Not. R. Astron. Soc., 351, 515-540","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR16_Ref","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/978-1-4471-0443-8_4","volume-title":"Advances in independent component analysis","author":"AK Barros","year":"2000","unstructured":"Barros, A.K. (2000). The independence assumption: Dependent component analysis. In M. Girolami (Ed.), Advances in independent component analysis, Berlin Heidelberg New York: Springer, pp. 63-71"},{"key":"4_CR17_Ref","doi-asserted-by":"crossref","first-page":"1995","DOI":"10.1162\/089976601750399272","volume":"13","author":"AK Barros","year":"2001","unstructured":"Barros, A.K., & Cichocki, A. (2001). Extraction of specific signals with temporal structure. Neural Comput., 13, 1995-2003","journal-title":"Neural Comput."},{"key":"4_CR18_Ref","volume-title":"A semi-blind second-order approach for statistical source separation in astrophysical maps. ISTI-CNR, Technical Report, 2003-TR-35","author":"L Bedini","year":"2003","unstructured":"Bedini, L., Bottini, S., Baccigalupi, C., Ballatore, P., Herranz, D., Kuruoglu, E.E., Salerno, E., & Tonazzini, A. (2003). A semi-blind second-order approach for statistical source separation in astrophysical maps. ISTI-CNR, Technical Report, 2003-TR-35, Pisa, Italy: ISTI-CNR"},{"issue":"(15)","key":"4_CR19_Ref","first-page":"2400-2412","volume":"2005","author":"L Bedini","year":"2005","unstructured":"Bedini, L., Herranz, D., Salerno, E., Baccigalupi, C., Kuruoglu, E.E., & Tonazzini, A. (2005). Separation of correlated astrophysical sources using multiple-lag data covariance matrices. EURASIP J. Appl. Signal Process., 2005(15), 2400-2412","journal-title":"EURASIP J. Appl. Signal Process."},{"key":"4_CR20_Ref","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1162\/neco.1995.7.6.1129","volume":"7","author":"AJ Bell","year":"1995","unstructured":"Bell, A.J., & Sejnowski, T.J. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Comput., 7, 1129-1159","journal-title":"Neural Comput."},{"key":"4_CR21_Ref","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1109\/78.554307","volume":"45","author":"A Belouchrani","year":"1997","unstructured":"Belouchrani, A., Abed-Meraim, K., Cardoso, J.-F., & Moulines, E. (1997). A blind source separation technique based on second order statistics. IEEE Trans. Signal Process., 45, 434-444","journal-title":"IEEE Trans. Signal Process."},{"key":"4_CR22_Ref","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1086\/377252","volume":"148","author":"C Bennett","year":"2003","unstructured":"Bennett, C., Hill, R.S., Hinshaw, G., Nolte, M.R., Odegard, N., Page, L., Spergel, D.N., Weiland, J.L., Wright, E.L., Halpern, M., Jarosik, N., Kogut, A., Limon, M., Meyer, S.S., Tucker, G.S., & Wollack, E. (2003). First-year Wilkinson microwave anisotropy probe (WMAP) observations: Foreground emission. Astrophys. J. Suppl. Ser., 148, 97-117","journal-title":"Astrophys. J. Suppl. Ser."},{"key":"4_CR23_Ref","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural network for pattern recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop, C.M. (1995). Neural network for pattern recognition. Oxford: Oxford University Press"},{"key":"4_CR24_Ref","unstructured":"Blake, C.L., & Merz, C.J. (1998). UCI Repository of machine learning databases http:\/\/www.ics.uci.edu\/\u223cmlearn\/MLRepository.html . Irvine, CA: University of California, Department of Information and Computer Science"},{"key":"4_CR25_Ref","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1046\/j.1365-8711.1999.02118.x","volume":"302","author":"FR Bouchet","year":"1999","unstructured":"Bouchet, F.R., Prunet, S., & Sethi, S.K. (1999). Multifrequency Wiener filtering of cosmic microwave background data with polarization. Mon. Not. R. Astron. Soc., 302, 663-676","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR26_Ref","doi-asserted-by":"crossref","DOI":"10.1201\/9780203903896","volume-title":"Pattern recognition and image processing","author":"S-T Bow","year":"2002","unstructured":"Bow, S.-T. (2002). Pattern recognition and image processing. New York, USA: Dekker"},{"key":"4_CR27_Ref","volume-title":"Classification and regression trees","author":"L Breiman","year":"1984","unstructured":"Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and regression trees. Belmont, CA: Wadsworth"},{"issue":"(11)","key":"4_CR28_Ref","first-page":"45","volume":"19","author":"C Brodley","year":"1995","unstructured":"Brodley, C., & Utgoff, P. (1995). Multivariate decision trees. Mach. Learn., 19(11), 45-77","journal-title":"Mach. Learn."},{"key":"4_CR29_Ref","volume-title":"The biomedical engineering handbook","author":"JD Bronzino","year":"1995","unstructured":"Bronzino, J.D. (1995). The biomedical engineering handbook. Boca Raton, USA: CRC"},{"key":"4_CR30_Ref","doi-asserted-by":"crossref","unstructured":"Brugge, M.H., Stevens, J.H., Nijhuis, J.A.G., & Spaanenburg, L. (1998). License plate recognition using DTCNNs. Fifth IEEE International workshop on cellular neural networks and their applications proceedings, pp. 212-217","DOI":"10.1109\/CNNA.1998.685366"},{"key":"4_CR31_Ref","doi-asserted-by":"crossref","first-page":"2009","DOI":"10.1109\/5.720250","volume":"86","author":"J-F Cardoso","year":"1998","unstructured":"Cardoso, J.-F. (1998). Blind signal separation: Statistical principles. Proc. IEEE, 86, 2009-2025","journal-title":"Proc. IEEE"},{"key":"4_CR32_Ref","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1162\/089976699300016863","volume":"11","author":"J-F Cardoso","year":"1999","unstructured":"Cardoso, J.-F. (1999). High-order contrasts for independent component analysis. Neural Comput., 11, 157-192","journal-title":"Neural Comput."},{"key":"4_CR33_Ref","first-page":"561","volume":"1","author":"J-F Cardoso","year":"2002","unstructured":"Cardoso, J.-F., Snoussi, H., Delabrouille, J., & Patanchon, G. (2002). Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging. In Proceedings of the EUSIPCO 2002. European Association for Signal, Speech and Image Processing, 1, 561-564","journal-title":"European Association for Signal, Speech and Image Processing"},{"key":"4_CR34_Ref","volume-title":"Monte Carlo statistical methods","author":"G Casella","year":"1999","unstructured":"Casella, G., & Robert, C.P. (1999). Monte Carlo statistical methods. Berlin Heidelberg New York: Springer"},{"key":"4_CR35_Ref","volume-title":"Digital image processing","author":"KR Castleman","year":"1996","unstructured":"Castleman, K.R. (1996). Digital image processing. Upper Saddle River, USA: Prentice-Hall"},{"key":"4_CR36_Ref","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1046\/j.1365-8711.2000.03462.x","volume":"315","author":"L Cay\u00f3n","year":"2000","unstructured":"Cay\u00f3n, L., Sanz, J.L., Barreiro, R.B., Mart\u00ednez-Gonz\u00e1lez, E., Vielva, P., Toffolatti, L., Silk, J., Diego, J.M., & Arg\u00fceso F. (2000). Isotropic wavelets: A powerful tool to extract point sources from cosmic microwave background map. Mon. Not. R. Astron. Soc., 315, 757-761","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"(2)","key":"4_CR37_Ref","first-page":"398","volume":"E82","author":"B Chandler","year":"1999","unstructured":"Chandler, B., Rekeczky, C., Nishio, Y., & Ushida, A. (1999). Adaptive simulated annealing in CNN template learning. IEICE Trans. Fundam., E82(2), 398-402","journal-title":"IEICE Trans. Fundam."},{"issue":"(12)","key":"4_CR38_Ref","doi-asserted-by":"crossref","first-page":"1220","DOI":"10.1109\/42.897814","volume":"19","author":"D Chen","year":"2000","unstructured":"Chen, D., Liang, Z., Wax, M.R., Li, L., Li, B., & Kaufman, A.E. (2000). A novel approach to extract colon lumen from CT images for virtual colonoscopy. IEEE Trans. Med. Imaging, 19(12), 1220-1226","journal-title":"IEEE Trans. Med. Imaging"},{"key":"4_CR39_Ref","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1080\/01621459.1998.10473750","volume":"93","author":"H Chipman","year":"1998a","unstructured":"Chipman, H., George, E., & McCullock R. (1998a). Bayesian CART model search. J. Am. Stat., 93, 935-960","journal-title":"J. Am. Stat."},{"key":"4_CR40_Ref","volume-title":"Proceedings of the symposium on the interface","author":"H Chipman","year":"1998b","unstructured":"Chipman, H., George, E., & McCulloch, R. (1998b). Making sense of a forest of trees. Proceedings of the symposium on the interface, Fairfax station, VA: Interface Foundation"},{"volume-title":"Cellular neural networks and analog VLSI","year":"1998","key":"4_CR41_Ref","unstructured":"Chua, L.O., Gulak, G., Pierzchala, E., & Rodr\u00edguez-V\u00e1zquez, A. (Ed.) (1998). Cellular neural networks and analog VLSI. Boston, USA: Kluwer"},{"key":"4_CR42_Ref","volume-title":"Cellular neural networks and visual computing: Foundation and applications","author":"LO Chua","year":"2001","unstructured":"Chua, L.O., & Roska, T. (2001). Cellular neural networks and visual computing: Foundation and applications. Cambridge: Cambridge University Press"},{"issue":"(10)","key":"4_CR43_Ref","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1109\/31.7600","volume":"35","author":"LO Chua","year":"1988","unstructured":"Chua, L.O., & Yang, L. (1988). Cellular neural networks: Theory. IEEE Trans. Circuits Syst., 35(10), 1257-1272","journal-title":"IEEE Trans. Circuits Syst."},{"key":"4_CR44_Ref","doi-asserted-by":"crossref","DOI":"10.1002\/0470845899","volume-title":"Adaptive blind signal and image processing","author":"A Cichocki","year":"2002","unstructured":"Cichocki, A., & Amari, S. (2002). Adaptive blind signal and image processing. New York: Wiley"},{"key":"4_CR45_Ref","doi-asserted-by":"crossref","unstructured":"Cigale, B., Divjak, M., & Zazula, D. (2002). Application of simulated annealing to biosignal classification and segmentation. 15th IEEE Symposium on Computer-Based Medical Systems, 165-170","DOI":"10.1109\/CBMS.2002.1011372"},{"issue":"(4)","key":"4_CR46_Ref","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1142\/S0218001404003368","volume":"18","author":"B Cigale","year":"2004","unstructured":"Cigale, B., & Zazula, D. (2004). Segmentation of ovarian ultrasound images using cellular neural networks. Int. J. Pattern Recognit. Artif. Intell., 18(4), 563-581","journal-title":"Int. J. Pattern Recognit. Artif. Intell."},{"key":"4_CR47_Ref","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0165-1684(94)90029-9","volume":"36","author":"P Comon","year":"1994","unstructured":"Comon, P. (1994). Independent component analysis: A new concept? Signal Process., 36, 287-314","journal-title":"Signal Process."},{"key":"4_CR48_Ref","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1007\/978-3-540-30110-3_117","volume":"3195","author":"M Costagli","year":"2004","unstructured":"Costagli, M., Kuruoglu, E.E., & Ahmed, A. (2004). Astrophysical image separation using particle filters. Lect. Notes Comput. Sci., 3195, 930-937","journal-title":"Lect. Notes Comput. Sci."},{"issue":"(10)","key":"4_CR49_Ref","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/81.473566","volume":"42","author":"KR Crounse","year":"1995","unstructured":"Crounse, K.R., & Chua, L.O. (1995). Methods for image processing and pattern formation in cellular neural networks: A tutorial. IEEE Trans. Circuits Syst., 42 (10), 583-601","journal-title":"IEEE Trans. Circuits Syst."},{"issue":"(P)","key":"4_CR50_Ref","first-page":"303","volume":"225","author":"AH Dachman","year":"2002","unstructured":"Dachman, A.H., N\u00e4ppi, J., Frimmel, H., & Yoshida, H. (2002). Sources of false positives in computerized detection of polyps in CT colonography. Radiology, 225 (P), 303","journal-title":"Radiology"},{"key":"4_CR51_Ref","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1111\/j.1365-2966.2003.07069.x","volume":"346","author":"J Delabrouille","year":"2002","unstructured":"Delabrouille, J., Cardoso, J.-F., & Patanchon, G. (2002). Multidetector multicomponent spectral matching and applications for cosmic microwave background data analysis. Mon. Not. R. Astron. Soc., 346, 1089-1102","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR52_Ref","volume-title":"Signal processing based on multilinear algebra. Ph. D. thesis, Heverlee","author":"L De Lathauwer","year":"1997","unstructured":"De Lathauwer, L. (1997). Signal processing based on multilinear algebra. Ph. D. thesis, Heverlee, Belgium: Katholieke Universiteit Leuven"},{"key":"4_CR53_Ref","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"EJ Dempster","year":"1977","unstructured":"Dempster, E.J., Laird, N.M., & Rubin, D.B. (1977). Maximum likelihood from incomplete data via EM algorithm. Ann. R. Stat. Soc., 39, 1-38","journal-title":"Ann. R. Stat. Soc."},{"key":"4_CR54_Ref","volume-title":"Bayesian methods for nonlinear classification and regression","author":"D Denison","year":"2002","unstructured":"Denison, D., Holmes, C., Malick, B., & Smith, A. (2002). Bayesian methods for nonlinear classification and regression. Chichester, UK: Wiley"},{"key":"4_CR55_Ref","doi-asserted-by":"crossref","unstructured":"De Zotti, G., Toffolatti, L., Arg\u00fceso, F., Davies, R.D., Mazzotta, P., Partridge, R.B., Smoot, G.F., & Vittorio, N. (1999). The Planck surveyor mission: Astrophysical prospects. In 3K Cosmology. Proceedings of the EC-TMR Conference. Woodbury, NY: American Institute of Physics, p. 204","DOI":"10.1063\/1.59327"},{"key":"4_CR56_Ref","first-page":"1","volume-title":"Ensemble methods in machine learning. Proceedings of the multiple classifier systems. Lecture Notes in Computer Science","author":"T Dietterich","year":"2000","unstructured":"Dietterich, T. (2000). Ensemble methods in machine learning. Proceedings of the multiple classifier systems. Lecture Notes in Computer Science. Berlin Heidelberg New York: Springer, pp. 1-15"},{"key":"4_CR57_Ref","doi-asserted-by":"crossref","first-page":"187","DOI":"10.3233\/IDA-1998-2303","volume":"2","author":"P Domingos","year":"1998","unstructured":"Domingos, P. (1998). Knowledge discovery via multiple models. Intell. Data Anal., 2, 187-202","journal-title":"Intell. Data Anal."},{"key":"4_CR58_Ref","first-page":"223","volume-title":"Bayesian averaging of classifiers and the overfitting problem. Proc. Mach. Learn","author":"P Domingos","year":"2000","unstructured":"Domingos, P. (2000). Bayesian averaging of classifiers and the overfitting problem. Proc. Mach. Learn. Stanford: Morgan Kaufmann, pp. 223-230"},{"key":"4_CR59_Ref","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1109\/34.625113","volume":"19","author":"C Dorai","year":"1997","unstructured":"Dorai, C., & Jain, A.K. (1997). Cosmos - a representation scheme for 3D free-form objects. IEEE Trans. Pattern Anal. Mach. Intell., 19, 1115-1130","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4_CR60_Ref","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3437-9","volume-title":"Sequential Monte Carlo methods in practice","author":"A Doucet","year":"2001","unstructured":"Doucet, A., De Freitas, J.F.G., & Gordon, N.J. (2001). Sequential Monte Carlo methods in practice. Berlin Heidelberg New York: Springer"},{"key":"4_CR61_Ref","volume-title":"Pattern classification","author":"RO Duda","year":"2001","unstructured":"Duda, R.O., & Hart, P.E. (2001). Pattern classification. 2nd edn. New York: Wiley Interscience","edition":"2"},{"key":"4_CR62_Ref","doi-asserted-by":"crossref","unstructured":"Edwards, D.C., Papaioannou, J., Jiang, Y., Kupinski, M.A., & Nishikawa, R.M. (2001). Eliminating false-positive microcalcification clustgers in a mammography cad scheme using a bayesian neural network. Paper presented at the Proc SPIE","DOI":"10.1117\/12.431089"},{"key":"4_CR63_Ref","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/978-1-4471-0443-8_2","volume-title":"Advances in independent components analysis","author":"RM Everson","year":"2000","unstructured":"Everson, R.M., & Roberts, S.J. (2000). Particle Filters for Non-stationary ICA. In M. Girolami (Ed.), Advances in independent components analysis. Berlin Heidelberg New York: Springer, pp. 23-41"},{"key":"4_CR64_Ref","volume-title":"Self-organizing methods in modeling: GMDH-Type Algorithms","author":"S Farlow","year":"1984","unstructured":"Farlow, S. (1984). Self-organizing methods in modeling: GMDH-Type Algorithms. New York: Dekker"},{"key":"4_CR65_Ref","volume-title":"Proceedings of the symposium on the interface. Computing Science and Statistics, Fairfax Station","author":"JE Fieldsend","year":"2003","unstructured":"Fieldsend, J.E., Bailey, T.C., Everson, R.M., Krzanowski, W.J., Partridge, D, & Schetinin, V. (2003). Bayesian inductively learned modules for safety critical systems. Proceedings of the symposium on the interface. Computing Science and Statistics, Fairfax Station, USA: Interface Foundation"},{"issue":"(8)","key":"4_CR66_Ref","doi-asserted-by":"crossref","first-page":"2665","DOI":"10.1118\/1.1990288","volume":"32","author":"H Frimmel","year":"2005","unstructured":"Frimmel, H., Nappi, J., & Yoshida, H. (2005). Centerline-based colon segmentation for CT colonography. Med. Phys., 32(8), 2665-2672","journal-title":"Med. Phys."},{"key":"4_CR67_Ref","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4931.001.0001","volume-title":"Neural network learning and expert systems","author":"S Galant","year":"1993","unstructured":"Galant, S. (1993). Neural network learning and expert systems. Cambridge, MA: MIT"},{"key":"4_CR68_Ref","volume-title":"Proceedings of the information science and systems","author":"J Gao","year":"2001","unstructured":"Gao, J., Zhou, M., & Wang, H. (2001). A threshold and region growing method for filament disappearance area detection in solar images. Proceedings of the information science and systems. Laurel, MD: Johns Hopkins University"},{"issue":"(12)","key":"4_CR69_Ref","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.1109\/42.974920","volume":"20","author":"SB Gokturk","year":"2001","unstructured":"Gokturk, S.B., Tomasi, C., Acar, B., Beaulieu, C.F., Paik, D.S., Jeffrey, R.B., Jr., et al. (2001). A statistical 3D pattern processing method for computer-aided detection of polyps in CT colonography. IEEE Trans. Med. Imaging, 20(12), 1251-1260","journal-title":"IEEE Trans. Med. Imaging"},{"key":"4_CR70_Ref","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1093\/biomet\/82.4.711","volume":"82","author":"P Green","year":"1995","unstructured":"Green, P. (1995). Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika, 82, 711-732","journal-title":"Biometrika"},{"key":"4_CR71_Ref","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1080\/00207176908905777","volume":"9","author":"JE Handschin","year":"1969","unstructured":"Handschin, J.E., & Mayne, D.Q. (1969). Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering. Int. J. Control, 9, 547-559","journal-title":"Int. J. Control"},{"key":"4_CR72_Ref","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3220-7","volume-title":"Cellular neural network: Analysis, design and optimisation","author":"M H\u00e4nggi","year":"2000","unstructured":"H\u00e4nggi, M., & Moschzty, G.S. (2000). Cellular neural network: Analysis, design and optimisation. Boston, USA: Kluwer"},{"key":"4_CR73_Ref","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1002\/cta.4490200503","volume":"20","author":"H Harrer","year":"1992","unstructured":"Harrer, H., & Nossek, J.A. (1992). Discrete-time cellular neural networks. Int. J. Circ. Theor. App. 20, 453-467","journal-title":"Int. J. Circ. Theor. App."},{"key":"4_CR74_Ref","volume-title":"Practical genetic algorithms","author":"RL Haupt","year":"2004","unstructured":"Haupt, R.L., & Haupt, S.E. (2004). Practical genetic algorithms. New Jersey, USA: Wiley Interscience"},{"key":"4_CR75_Ref","volume-title":"Neural networks: A comprehensive foundation","author":"S Haykin","year":"1999","unstructured":"Haykin, S. (1999). Neural networks: A comprehensive foundation. New Jersey: Prentice Hall"},{"volume-title":"Blind deconvolution","year":"1994","key":"4_CR76_Ref","unstructured":"Haykin, S., (Ed.) (1994). Blind deconvolution. Englewood Cliffs, USA: Prentice-Hall"},{"key":"4_CR77_Ref","unstructured":"Haykin, S.,(Ed.) (2000). Unsupervised adaptive filtering, Vol. II: Blind deconvolution. New York: Wiley"},{"key":"4_CR78_Ref","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"JH Holland","year":"1992","unstructured":"Holland, J.H. (1992). Genetic algorithms. Sci. Am. 267, 66-72","journal-title":"Sci. Am."},{"key":"4_CR79_Ref","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1046\/j.1365-8711.1998.01777.x","volume":"300","author":"MP Hobson","year":"1998","unstructured":"Hobson, M.P., Jones, A.W., Lasenby, A.N., & Bouchet, F.R. (1998). Foreground separation methods for satellite observations of the cosmic microwave background. Mon. Not. R. Astron. Soc., 300, 1-29","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR80_Ref","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.1109\/23.597004","volume":"44","author":"L Hong","year":"1997","unstructured":"Hong, L., Liang, Z., Viswambharan, A., Kaufman, A., & Wax, M. (1997). Reconstruction and visualization of 3D models of colonic surface. IEEE Trans. Nuclear Sci., 44, 1297-1302","journal-title":"IEEE Trans. Nuclear Sci."},{"key":"4_CR81_Ref","doi-asserted-by":"crossref","first-page":"2554","DOI":"10.1073\/pnas.79.8.2554","volume":"79","author":"JJ Hopfield","year":"1982","unstructured":"Hopfield, J.J. (1982). Neural networks and physical systems with emergent computational abilities. Proc. Natl. Acad. Sci. USA, 79, 2554-2558","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"4_CR82_Ref","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0925-2312(98)00049-6","volume":"22","author":"A Hyv\u00e4rinen","year":"1998","unstructured":"Hyv\u00e4rinen, A. (1998). Independent component analysis in the presence of gaussian noise by maximizing joint likelihood. Neurocomputing, 22, 49-67","journal-title":"Neurocomputing"},{"key":"4_CR83_Ref","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/72.761722","volume":"10","author":"A Hyv\u00e4rinen","year":"1999a","unstructured":"Hyv\u00e4rinen, A. (1999a). Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Networks, 10, 626-634","journal-title":"IEEE Trans. Neural Networks"},{"key":"4_CR84_Ref","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1109\/97.763148","volume":"6","author":"A Hyv\u00e4rinen","year":"1999b","unstructured":"Hyv\u00e4rinen, A., (1999b). Gaussian moments for noisy independent component analysis. IEEE Signal Process. Lett., 6, 145-147","journal-title":"IEEE Signal Process. Lett."},{"key":"4_CR85_Ref","doi-asserted-by":"crossref","DOI":"10.1002\/0471221317","volume-title":"Independent component analysis","author":"A Hyv\u00e4rinen","year":"2001","unstructured":"Hyv\u00e4rinen, A., Karhunen, J., & Oja, E. (2001). Independent component analysis. New York: Wiley"},{"key":"4_CR86_Ref","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1162\/neco.1997.9.7.1483","volume":"9","author":"A Hyv\u00e4rinen","year":"1997","unstructured":"Hyv\u00e4rinen, A., & Oja, E. (1997). A fast fixed-point algorithm for independent component analysis. Neural Comput., 9, 1483-1492","journal-title":"Neural Comput."},{"key":"4_CR87_Ref","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/S0893-6080(00)00026-5","volume":"13","author":"A Hyv\u00e4rinen","year":"2000","unstructured":"Hyv\u00e4rinen, A., & Oja, E. (2000). Independent component analysis: Algorithms and applications, Neural Network, 13, 411-430","journal-title":"Neural Network"},{"key":"4_CR88_Ref","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1016\/0895-7177(89)90202-1","volume":"12","author":"L Ingber","year":"1989","unstructured":"Ingber, L. (1989). Very fast simulated re-annealing. J. Math. Comput. Model., 12, 967-973","journal-title":"J. Math. Comput. Model."},{"issue":"(2)","key":"4_CR89_Ref","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.acra.2004.11.013","volume":"12","author":"G Iordanescu","year":"2005","unstructured":"Iordanescu, G., Pickhardt, P.J., Choi, J.R., & Summers, R.M. (2005). Automated seed placement for colon segmentation in computed tomography colonography. Acad. Radiol., 12(2), 182-190","journal-title":"Acad. Radiol."},{"issue":"(2)","key":"4_CR90_Ref","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/S1076-6332(03)80039-9","volume":"10","author":"AK Jerebko","year":"2003a","unstructured":"Jerebko, A.K., Malley, J.D., Franaszek, M., & Summers, R.M. (2003a). Multiple neural network classification scheme for detection of colonic polyps in CT colonography data sets. Acad. Radiol., 10(2), 154-160","journal-title":"Acad. Radiol."},{"issue":"(1)","key":"4_CR91_Ref","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1118\/1.1528178","volume":"30","author":"AK Jerebko","year":"2003b","unstructured":"Jerebko, A.K., Summers, R.M., Malley, J.D., Franaszek, M., & Johnson, C.D. (2003b). Computer-assisted detection of colonic polyps with CT colonography using neural networks and binary classification trees. Med. Phys., 30(1), 52-60","journal-title":"Med. Phys."},{"issue":"(2)","key":"4_CR92_Ref","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1148\/radiology.216.2.r00au47331","volume":"216","author":"CD Johnson","year":"2000","unstructured":"Johnson, C.D., & Dachman, A.H. (2000). CT colonography: The next colon screening examination? Radiology, 216(2), 331-341","journal-title":"Radiology"},{"issue":"(4598)","key":"4_CR93_Ref","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C.D., & Vecchi, M.V. (1983). Optimization by simulated annealing. Science, 220(4598), 671-680","journal-title":"Science"},{"issue":"(1)","key":"4_CR94_Ref","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/s003300101040","volume":"12","author":"G Kiss","year":"2002","unstructured":"Kiss, G., Van Cleynenbreugel, J., Thomeer, M., Suetens, P., & Marchal, G. (2002). Computer-aided diagnosis in virtual colonography via combination of surface normal and sphere fitting methods. Eur. Radiol., 12(1), 77-81","journal-title":"Eur. Radiol."},{"key":"4_CR95_Ref","doi-asserted-by":"crossref","unstructured":"Knuth, K. (1998). Bayesian source separation and localization. Proceedings of the SPIE: Bayesian inference for inverse problems, pp. 147-158","DOI":"10.1117\/12.323794"},{"key":"4_CR96_Ref","volume-title":"Foundations of differential geometry I, Vol. 1","author":"S Kobayashi","year":"1963","unstructured":"Kobayashi, S., & Nomizu, K. (1963). Foundations of differential geometry I, Vol. 1. New York: Interscience"},{"key":"4_CR97_Ref","volume-title":"Foundations of differential geometry II, Vol. 2","author":"S Kobayashi","year":"1969","unstructured":"Kobayashi, S., & Nomizu, K. (1969). Foundations of differential geometry II, Vol. 2. New York: Interscience"},{"key":"4_CR98_Ref","volume-title":"Solid shape","author":"JJ Koenderink","year":"1990","unstructured":"Koenderink, J.J. (1990). Solid shape. Cambridge, MA: MIT"},{"issue":"(6)","key":"4_CR99_Ref","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1109\/81.238343","volume":"40","author":"T Kozek","year":"1993","unstructured":"Kozek, T., Roska, T., & Chua, L.O. (1993). Genetic algorithm for CNN template learning. IEEE Trans. Circuits Syst. I, 40(6), 392-402","journal-title":"IEEE Trans. Circuits Syst. I"},{"key":"4_CR100_Ref","doi-asserted-by":"crossref","DOI":"10.1002\/0471660264","volume-title":"Combining pattern classifiers: Methods and algorithms","author":"L Kuncheva","year":"2004","unstructured":"Kuncheva, L. (2004). Combining pattern classifiers: Methods and algorithms. New York: Wiley"},{"issue":"(9)","key":"4_CR101_Ref","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1109\/42.952727","volume":"20","author":"MA Kupinski","year":"2001","unstructured":"Kupinski, M.A., Edwards, D.C., Giger, M.L., & Metz, C.E. (2001). Ideal observer approximation using bayesian classification neural networks. IEEE Trans. Med. Imaging, 20(9), 886-899","journal-title":"IEEE Trans. Med. Imaging"},{"key":"4_CR102_Ref","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1016\/S0893-6080(03)00018-2","volume":"16","author":"EE Kuruoglu","year":"2003","unstructured":"Kuruoglu, E.E., Bedini, L., Paratore, M.T., Salerno, E., & Tonazzini, A. (2003). Source separation in astrophysical maps using independent factor analysis. Neural Network, 16, 479-491","journal-title":"Neural Network"},{"key":"4_CR103_Ref","doi-asserted-by":"crossref","unstructured":"Kuruoglu, E., Tonazzini, A., & Bianchi, L. (2004). Source separation in astrophysical images modelled by Markov random fields. In Proceedings of the ICIP 2004. IEEE Signal Processing Society , pp. 2701-2704","DOI":"10.1109\/ICIP.2004.1421661"},{"key":"4_CR104_Ref","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-015-7744-1","volume-title":"Simulated annealing: Theory and applications","author":"PJM Laarhoven","year":"1987","unstructured":"Laarhoven, P.J.M., & Aarts, E.H.L. (1987). Simulated annealing: Theory and applications. Dordrecht: Reidel"},{"key":"4_CR105_Ref","first-page":"409","volume":"11","author":"T Lee","year":"1999","unstructured":"Lee, T., Lewicki, M., & Sejnowski, T. (1999). Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources. Neural Comput., 11, 409-433","journal-title":"Neural Comput."},{"key":"4_CR106_Ref","doi-asserted-by":"crossref","first-page":"1871","DOI":"10.1080\/03610929808832196","volume":"27","author":"SE Lee","year":"1998","unstructured":"Lee, S.E., & Press, S.J. (1998). Robustness of Bayesian factor analysis estimates. Commun. Stat. A. Theor., 27, 1871-1893","journal-title":"Commun. Stat. A. Theor."},{"issue":"(1)","key":"4_CR107_Ref","doi-asserted-by":"crossref","first-page":"44","DOI":"10.3322\/canjclin.53.1.44","volume":"53","author":"B Levin","year":"2003","unstructured":"Levin, B., Brooks, D., Smith, R.A., & Stone, A. (2003). Emerging technologies in screening for colorectal cancer: CT colonography, immunochemical fecal occult blood tests, and stool screening using molecular markers. CA Cancer J. Clin., 53(1), 44-55","journal-title":"CA Cancer J. Clin."},{"issue":"(1)","key":"4_CR108_Ref","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1007\/s10278-004-1032-4","volume":"18","author":"H Li","year":"2005","unstructured":"Li, H., & Santago, P. (2005). Automatic colon segmentation with dual scan CT colonography. J. Digit. Imaging, 18(1):42-54","journal-title":"J. Digit. Imaging"},{"key":"4_CR109_Ref","volume-title":"Volumetric image analysis","author":"G Lohmann","year":"1998","unstructured":"Lohmann, G. (1998). Volumetric image analysis. New York: Wiley"},{"key":"4_CR110_Ref","unstructured":"Loncar, A., Kunz, R., & Tetzlaff, R. (2000). SCNN 2000 - Part I: Basic structure and features of the simulation system for cellular neural networks. Proceedings of the 6th IEEE International workshop on cellular neural networks and their applications (CNNA), Catania, pp. 123-128"},{"key":"4_CR111_Ref","volume-title":"Inductive learning algorithms for complex systems modeling","author":"H Madala","year":"1994","unstructured":"Madala, H., & Ivakhnenko, A. (1994). Inductive learning algorithms for complex systems modeling. Boca Raton: CRC"},{"key":"4_CR112_Ref","volume-title":"complexity and VLSI processing","author":"G Manganaro","year":"1999","unstructured":"Manganaro, G., Arena, P., & Fortuna, L. (1999). Cellular neural network: Chaos, complexity and VLSI processing. Berlin Heidelberg New York: Springer"},{"key":"4_CR113_Ref","volume-title":"Simulated annealing technical reports UCB\/\/ERL-93-88","author":"H Magnussen","year":"1993","unstructured":"Magnussen, H., Nossek, J.A., & Chua, L.O. (1993). The learning problem for discrete-time cellular neural networks as a combinatorial optimization problem. Simulated annealing technical reports UCB\/\/ERL-93-88. Berkeley: University of California"},{"key":"4_CR114_Ref","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1046\/j.1365-8711.2002.05425.x","volume":"334","author":"D Maino","year":"2002","unstructured":"Maino, D., Farusi, A., Baccigalupi, C., Perrotta, F., Banday, A.J., Bedini, L., Burigana, C., De Zotti, G., Gorski, K.M., & Salerno, E. (2002). All-sky astrophysical component separation with Fast Independent Component Analysis (FastICA). Mon. Not. R. Astron. Soc., 334, 53-68","journal-title":"Mon. Not. R. Astron. Soc."},{"issue":"(3)","key":"4_CR115_Ref","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1097\/00004728-200405000-00003","volume":"28","author":"A Mani","year":"2004","unstructured":"Mani, A., Napel, S., Paik, D.S., Jeffrey, R.B., Jr., Yee, J., Olcott, E.W., et al. (2004). Computed tomography colonography: Feasibility of computer-aided polyp detection in a \u201cfirst reader\u201d paradigm. J. Comput. Assist. Tomogr., 28 (3), 318-326","journal-title":"J. Comput. Assist. Tomogr."},{"issue":"(4)","key":"4_CR116_Ref","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1097\/00004728-200107000-00020","volume":"25","author":"Y Masutani","year":"2001","unstructured":"Masutani, Y., Yoshida, H., MacEneaney, P.M., & Dachman, A.H. (2001). Automated segmentation of colonic walls for computerized detection of polyps in CT colonography. J. Comput. Assist. Tomogr., 25(4), 629-638","journal-title":"J. Comput. Assist. Tomogr."},{"key":"4_CR117_Ref","doi-asserted-by":"crossref","unstructured":"Metz, C.E. (2000). Fundamental roc analysis. In J. Beutel, H.L. Kundel, & R.L.V. Metter (Eds.), Handbook of medical imaging Vol. 1, Bellingham, WA: SPIE, pp. 751-770","DOI":"10.1117\/3.832716.ch15"},{"key":"4_CR118_Ref","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1063\/1.1381859","volume":"567","author":"A Mohammad-Djafari","year":"2001","unstructured":"Mohammad-Djafari, A. (2001). A Bayesian approach to source separation. Proc. AIP Conf., 567, 221-244","journal-title":"Proc. AIP Conf."},{"key":"4_CR119_Ref","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1006\/cviu.1995.1014","volume":"61","author":"O Monga","year":"1995","unstructured":"Monga, O., & Benayoun, S. (1995). Using partial derivatives of 3D images to extract typical surface features. Comput. Vis. Image Und., 61, 171-189","journal-title":"Comput. Vis. Image Und."},{"issue":"(23)","key":"4_CR120_Ref","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1056\/NEJMe038181","volume":"349","author":"MM Morrin","year":"2003","unstructured":"Morrin, M.M., & LaMont, J.T. (2003). Screening virtual colonoscopy - ready for prime time? N. Engl. J. Med., 349(23), 2261-2264","journal-title":"N. Engl. J. Med."},{"key":"4_CR121_Ref","first-page":"3617-3620","volume":"5","author":"E Moulines","year":"1997","unstructured":"Moulines, E., Cardoso, J.-F., & Gassiat, E. (1997). Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models. Proceedings of the ICASSP 1997. IEEE Signal Processing Society, 5, 3617-3620","journal-title":"IEEE Signal Processing Society"},{"issue":"(8)","key":"4_CR122_Ref","doi-asserted-by":"crossref","first-page":"635","DOI":"10.7326\/0003-4819-142-8-200504190-00013","volume":"142","author":"BP Mulhall","year":"2005","unstructured":"Mulhall, B.P., Veerappan, G.R., & Jackson, J.L. (2005). Meta-analysis: Computed tomographic colonography. Ann. Intern. Med., 142(8), 635-650","journal-title":"Ann. Intern. Med."},{"key":"4_CR123_Ref","volume-title":"Self-organizing data mining: Extracting knowledge from data","author":"JA M\u00fcller","year":"2003","unstructured":"M\u00fcller, J.A., & Lemke, F. (2003). Self-organizing data mining: Extracting knowledge from data. Canada: Trafford"},{"issue":"(4)","key":"4_CR124_Ref","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1097\/00004728-200207000-00003","volume":"26","author":"J N\u00e4ppi","year":"2002a","unstructured":"N\u00e4ppi, J., Dachman, A.H., MacEneaney, P., & Yoshida, H. (2002a). Automated knowledge-guided segmentation of colonic walls for computerized detection of polyps in CT colonography. J. Comput. Assist. Tomogr., 26(4), 493-504","journal-title":"J. Comput. Assist. Tomogr."},{"issue":"(P)","key":"4_CR125_Ref","first-page":"406","volume":"225","author":"J N\u00e4ppi","year":"2002b","unstructured":"N\u00e4ppi, J., Frimmel, H., Dachman, A.H., & Yoshida, H. (2002b). Computer aided detection of masses in CT colonography: Techniques and evaluation. Radiology, 225(P), 406","journal-title":"Radiology"},{"key":"4_CR126_Ref","doi-asserted-by":"crossref","unstructured":"N\u00e4ppi, J., Frimmel, H., Dachman, A.H., & Yoshida, H. (2004). A new high-performance cad scheme for the detection of polyps in CT colonography. Paper presented at the Medical Imaging 2004: Image Processing","DOI":"10.1117\/12.536127"},{"issue":"(1)","key":"4_CR127_Ref","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1109\/TITB.2004.837834","volume":"9","author":"J N\u00e4ppi","year":"2005","unstructured":"N\u00e4ppi, J., Frimmel, H., & Yoshida, H. (2005). Virtual endoscopic visualization of the colon by shape-scale signatures. IEEE Trans. Inf. Technol. Biomed., 9(1), 120-131","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"issue":"(4)","key":"4_CR128_Ref","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/S1076-6332(03)80184-8","volume":"9","author":"J N\u00e4ppi","year":"2002","unstructured":"N\u00e4ppi, J., & Yoshida, H. (2002). Automated detection of polyps with CT colonography: Evaluation of volumetric features for reduction of falsepositive findings. Acad. Radiol., 9(4), 386-397","journal-title":"Acad. Radiol."},{"issue":"(7)","key":"4_CR129_Ref","doi-asserted-by":"crossref","first-page":"1592","DOI":"10.1118\/1.1576393","volume":"30","author":"J N\u00e4ppi","year":"2003","unstructured":"N\u00e4ppi, J., & Yoshida, H. (2003). Feature-guided analysis for reduction of false positives in cad of polyps for computed tomographic colonography. Med. Phys., 30(7), 1592-1601","journal-title":"Med. Phys."},{"key":"4_CR130_Ref","volume-title":"Evaluation of the effect of cad on observers' performance in detection of polyps in CT colonography. Paper presented at the CARS","author":"A Okamura","year":"2004","unstructured":"Okamura, A., Dachman, A.H., Parsad, N., N\u00e4ppi, J., & Yoshida, H. (2004). Evaluation of the effect of cad on observers' performance in detection of polyps in CT colonography. Paper presented at the CARS. Chicago, IL: Computer Assisted Radiology and Surgery"},{"issue":"(6)","key":"4_CR131_Ref","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1109\/TMI.2004.826362","volume":"23","author":"DS Paik","year":"2004","unstructured":"Paik, D.S., Beaulieu, C.F., Rubin, G.D., Acar, B., Jeffrey, R.B., Jr., Yee, J., et al. (2004). Surface normal overlap: A computer-aided detection algorithm with application to colonic polyps and lung nodules in helical ct. IEEE Trans. Med. Imaging, 23(6), 661-675","journal-title":"IEEE Trans. Med. Imaging"},{"key":"4_CR132_Ref","unstructured":"Patanchon, G., Snoussi, H., Cardoso, J.-F., & Delabrouille, J. (2003). Component separation for Cosmic Microwave Background data: a blind approach based on spectral diversity. Proceedings of the PSIP 2003. Grenoble, France (extended version in astro-ph\/0302078), pp. 17-20"},{"key":"4_CR133_Ref","volume-title":"Adaptive image processing: A computational intelligence perspective","author":"SW Perry","year":"2002","unstructured":"Perry, S.W., Wong H.-S., & Guan L. (2002). Adaptive image processing: A computational intelligence perspective. Boca Raton, USA: CRC"},{"key":"4_CR134_Ref","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1006\/dspr.1996.0002","volume":"6","author":"KJ Pope","year":"1996","unstructured":"Pope, K.J., & Bogner, R.E. (1996). Blind signal separation. I. Linear, instantaneous combinations. Digit. Sign. Process., 6, 5-16","journal-title":"Digit. Sign. Process."},{"issue":"(3)","key":"4_CR135_Ref","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/S0262-8856(01)00096-8","volume":"20","author":"B Potonik","year":"2002","unstructured":"Poto\u010dnik, B., & Zazula, D. (2002). Automated analysis of a sequence of ovarian ultrasound images, Part I - segmentation of single 2D images. Image Vis. Comput., 20(3), 217-225","journal-title":"Image Vis. Comput."},{"issue":"(4)","key":"4_CR136_Ref","first-page":"202","volume":"8","author":"R Qahwaji","year":"2001","unstructured":"Qahwaji, R., & Green, R. (2001). Detection of closed regions in digital images. J. Comput. Appl., 8(4), 202-207","journal-title":"J. Comput. Appl."},{"key":"4_CR137_Ref","volume-title":"C4.5: Programs for machine learning","author":"J Quinlan","year":"1993","unstructured":"Quinlan, J. (1993). C4.5: Programs for machine learning. Los Altos, CA: Morgan Kaufmann"},{"issue":"(3)","key":"4_CR138_Ref","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1111\/j.2517-6161.1994.tb01990.x","volume":"56","author":"B Ripley","year":"1994","unstructured":"Ripley, B. (1994). Neural networks and related methods for classification. J. Roy. Stat. Soc. B, 56(3), 409-456","journal-title":"J. Roy. Stat. Soc. B"},{"key":"4_CR139_Ref","unstructured":"Roska, T., K\u00e9k, L., Nemes, L., Zar\u00e1ndy, \u00c1., Brendel, M., & Szolgay, P. (1998). CNN software library (templates and algorithms) version 7.2. Research report of the analogic (dual) and neural computing systems laboratory, Budapest, Hungary: MTA SZTAKI"},{"key":"4_CR140_Ref","doi-asserted-by":"crossref","DOI":"10.1201\/9781420040760","volume-title":"The image processing handbook","author":"JC Russ","year":"2002","unstructured":"Russ, J.C. (2002). The image processing handbook. Boca Raton, USA: CRC"},{"key":"4_CR141_Ref","unstructured":"Salerno, E., Baccigalupi, C., Bedini, L., Burigana, C., Farusi, A., Maino, D., Maris, M., Perrotta, F., & Tonazzini, A. (2000). Independent component analysis approach to detect the cosmic microwave background radiation from satellite measurements. Pisa, Italy: ISTI-CNR, technical report B4-04-04-00"},{"key":"4_CR142_Ref","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1089\/cmb.1998.5.667","volume":"5","author":"S Salzberg","year":"1998","unstructured":"Salzberg, S., Delcher, A., Fasman, K., & Henderson, J. (1998). A decision tree system for finding genes in DNA. Comput. Biol., 5, 667-680","journal-title":"Comput. Biol."},{"key":"4_CR143_Ref","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1023\/A:1022935810223","volume":"17","author":"V Schetinin","year":"2003","unstructured":"Schetinin, V. (2003). A learning algorithm for evolving cascade neural networks. Neural Process Lett., 17, 21-31","journal-title":"Neural Process Lett."},{"key":"4_CR144_Ref","volume-title":"Proceedings of the IEEE conference on advances in intelligent systems - theory and applications, (AISTA 2004)","author":"V Schetinin","year":"2004","unstructured":"Schetinin, V., Fieldsend, J.E., Partridge, D., Krzanowski, W.J., Everson, R.M., Bailey, T.C., & Hernandez, A. (2004). The Bayesian decision tree technique with a sweeping strategy. Proceedings of the IEEE conference on advances in intelligent systems - theory and applications, (AISTA 2004), Luxembourg: IEEE Computer Society"},{"key":"4_CR145_Ref","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.thbio.2005.05.004","volume":"124","author":"V Schetinin","year":"2005","unstructured":"Schetinin, V., & Schult, J. (2005). A neural network technique for learning concepts from electroencephalograms. Theor. Biosci., 124, 41-53","journal-title":"Theor. Biosci."},{"issue":"(11)","key":"4_CR146_Ref","doi-asserted-by":"crossref","first-page":"1893","DOI":"10.1016\/S0031-3203(97)00005-8","volume":"30","author":"I Sethi","year":"1997","unstructured":"Sethi, I., & Yoo, J. (1997). Structure-driven induction of decision tree classifiers through neural learning. Pattern Recogn., 30(11), 1893-1904","journal-title":"Pattern Recogn."},{"key":"4_CR147_Ref","doi-asserted-by":"crossref","unstructured":"Shulman, D., & Herve, J.Y. (1989). Regularization of discontinuous flow fields. Proceedings of the workshop on visual motion. IEEE Computer Society Press, pp. 81-85","DOI":"10.1109\/WVM.1989.47097"},{"issue":"(1)","key":"4_CR148_Ref","doi-asserted-by":"crossref","first-page":"L1","DOI":"10.1086\/186504","volume":"396","author":"GF Smoot","year":"1992","unstructured":"Smoot, G.F., Bennett, C.L., Kogut, A., Wright, E.L., Aymon, J., Boggess, N.W., Cheng, E.S., Deamici, G., Gulkis, S., Hauser, M.G., Hinshaw, G., Jackson, P.D., Janssen, M., Kaita, E., Kelsall, T., Keegstra, P., Lineweaver, C., Loewenstein, K., Lubin, P., Mather, J., Meyer, S.S., Moseley, S.H., Murdock, T., Rokke, L., Silverberg, R.F., Tenorio, L., Weiss, R., & Wilkinson, D.T. (1992). Structure in the COBE differential microwave radiometer 1st-year maps. Astrophys. J., 396(1), L1","journal-title":"Astrophys. J."},{"key":"4_CR149_Ref","unstructured":"Snoussi, H., Patanchon, G., Macias-P\u00e9rez, J., Mohammad-Djafari, A., & Delabrouille, J. (2001). Bayesian blind component separation for cosmic microwave background observation. Proceedings of the AIP workshop on Bayesian and maximum-entropy methods. American Institute of Physics, pp. 125-140"},{"key":"4_CR150_Ref","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1046\/j.1365-8711.2002.05683.x","volume":"336","author":"V Stolyarov","year":"2002","unstructured":"Stolyarov, V., Hobson, M.P., Ashdown, M.A.J., & Lasenby, A.N. (2002). All-sky component separation for the Planck mission. Mon. Not. R. Astron. Soc., 336, 97-111","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR151_Ref","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1111\/j.1365-2966.2005.08610.x","volume":"357","author":"V Stolyarov","year":"2005","unstructured":"Stolyarov, V., Hobson, M.P., Lasenby, A.N., & Barreiro, R.B. (2005). All-sky component separation in the presence of anisotropic noise and dust temperature variations. Mon. Not. R. Astron. Soc., 357, 145-155","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR152_Ref","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1006\/nimg.2001.0986","volume":"15","author":"JV Stone","year":"2002","unstructured":"Stone, J.V., Porrill, J., Porter, N.R., & Wilkinson, I.W. (2002). Spatiotemporal independent component analysis of event-related fMRI data using skewed probability density functions. Neuroimage, 15, 407-421","journal-title":"Neuroimage"},{"issue":"(1)","key":"4_CR153_Ref","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1148\/radiology.216.1.r00jl43284","volume":"216","author":"RM Summers","year":"2000","unstructured":"Summers, R.M., Beaulieu, C.F., Pusanik, L.M., Malley, J.D., Jeffrey, R.B., Jr., Glazer, D.I., et al. (2000). Automated polyp detector for CT colonography: Feasibility study. Radiology, 216(1), 284-290","journal-title":"Radiology"},{"issue":"(1)","key":"4_CR154_Ref","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1148\/radiology.219.1.r01ap0751","volume":"219","author":"RM Summers","year":"2001","unstructured":"Summers, R.M., Johnson, C.D., Pusanik, L.M., Malley, J.D., Youssef, A.M., & Reed, J. E. (2001). Automated polyp detection at CT colonography: Feasibility assessment in a human population. Radiology, 219(1), 51-59","journal-title":"Radiology"},{"key":"4_CR155_Ref","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1086\/308348","volume":"530","author":"M Tegmark","year":"2000","unstructured":"Tegmark, M., Eisenstein, D.J., Hu, W., & de Oliveira-Costa A. (2000). Foregrounds and forecasts for the cosmic microwave background. Astrophys. J., 530, 133-165","journal-title":"Astrophys. J."},{"key":"4_CR156_Ref","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1046\/j.1365-8711.1999.02992.x","volume":"310","author":"L Tenorio","year":"1999","unstructured":"Tenorio, L., Jaffe, A.H., Hanany, S., & Lineweaver, C.H. (1999). Applications of wavelets to the analysis of cosmic microwave background maps. Mon. Not. R. Astron. Soc., 310, 823-834","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR157_Ref","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1006\/cviu.1995.1015","volume":"61","author":"J-P Thirion","year":"1995","unstructured":"Thirion, J.-P., & Gourdon, A. (1995). Computing the differential characteristics of isointensity surfaces. Comput. Vis. Image Und., 61, 190-202","journal-title":"Comput. Vis. Image Und."},{"key":"4_CR158_Ref","unstructured":"Tonazzini, A., Bedini, L., Kuruoglu, E.E., & Salerno, E. (2003). Blind separation of auto-correlated images from noisy data using MRF models. Nara, Japan: Proceedings of the fourth international symposium on independent component analysis and blind source separation, pp. 675-680"},{"key":"4_CR159_Ref","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1109\/TIP.2005.860323","volume":"15","author":"A Tonazzini","year":"2006","unstructured":"Tonazzini, A., Bedini, L., & Salerno, E. (2006). A Markov model for blind image separation by a mean-field EM algorithm. IEEE Transactions on image processing, 15, 473-482","journal-title":"IEEE Transactions on image processing"},{"key":"4_CR160_Ref","volume-title":"Proceedings of the EUSIPCO 2005, 4-8 September 2005","author":"A Tonazzini","year":"2005","unstructured":"Tonazzini, A., & Gerace, I. (2005). Bayesian MRF-based blind source separation of convolutive mixtures of images. Proceedings of the EUSIPCO 2005, 4-8 September 2005, Antalya, Turkey: EUSIPCO"},{"key":"4_CR161_Ref","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1109\/31.76486","volume":"38","author":"L Tong","year":"1991","unstructured":"Tong, L., Liu, R.W., Soon, V.C., & Huang, Y.-F. (1991). Indeterminacy and identifiability of blind identification. IEEE Transactions on circuits and systems, 38, 499-509","journal-title":"IEEE Transactions on circuits and systems"},{"key":"4_CR162_Ref","doi-asserted-by":"crossref","unstructured":"Torkkola, K. (1996). Blind separation of delayed sources based on information maximization. Atlanta, USA: IEEE International Conference on Acoustics, Speech & Signal Processing, 7-10","DOI":"10.1109\/ICASSP.1996.550785"},{"key":"4_CR163_Ref","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1046\/j.1365-8711.2001.04592.x","volume":"326","author":"P Vielva","year":"2001","unstructured":"Vielva, P., Mart\u00ednez-Gonz\u00e1lez, E., Cay\u00f3n, L., Diego, J.M., Sanz, J.L., & Toffolatti L. (2001). Predicted Planck extragalactic point-source catalogue. Mon. Not. R. Astron. Soc., 326, 181-191","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"4_CR164_Ref","unstructured":"Vlaisavljevi\u0107, V., Relji\u010d, M., Lovrec, V.G., Zazula, D., & Sergent, N. (2003). Measurement of perifollicular blood flow of the dominant preovulatory follicle using 3D power Doppler. Ultrasound Obst. Gyn., 22(5), 520-526 Web page of AnaLogic Computers Ltd. www.analogic-computers.com"},{"issue":"(1)","key":"4_CR165_Ref","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0895-6111(99)00039-7","volume":"24","author":"CL Wyatt","year":"2000","unstructured":"Wyatt, C.L., Ge, Y., & Vining, D.J. (2000). Automatic segmentation of the colon for virtual colonoscopy. Comput. Med. Imaging Graph, 24(1), 1-9","journal-title":"Comput. Med. Imaging Graph"},{"key":"4_CR166_Ref","volume-title":"Handbook of CNN image processing: All you need to know about cellular neural networks","author":"T Yang","year":"2002","unstructured":"Yang, T. (2002). Handbook of CNN image processing: All you need to know about cellular neural networks. Tucson, USA: Yang's Scientific Research Institute LLC"},{"key":"4_CR167_Ref","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1109\/TSP.2002.1011195","volume":"50","author":"A Yeredor","year":"2002","unstructured":"Yeredor, A. (2002). Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation. IEEE Transactions on Signal Processing, 50, 1545-1553","journal-title":"IEEE Transactions on Signal Processing"},{"volume-title":"Insight into images: Principles and practice for segmentation, registration, and image analysis","year":"2004","key":"4_CR168_Ref","unstructured":"Yoo, T.S. (Ed.) (2004). Insight into images: Principles and practice for segmentation, registration, and image analysis. Wellesey, USA: A K Peters"},{"issue":"(5)","key":"4_CR169_Ref","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1053\/j.sult.2004.07.002","volume":"25","author":"H Yoshida","year":"2004","unstructured":"Yoshida, H., & Dachman, A.H. (2004). Computer-aided diagnosis for CT colonography. Semin. Ultrasound CT, 25(5), 419-431","journal-title":"Semin. Ultrasound CT"},{"issue":"(1)","key":"4_CR170_Ref","first-page":"26","volume":"30","author":"H Yoshida","year":"2005","unstructured":"Yoshida, H., & Dachman, A.H. (2005). Cad techniques, challenges, and controversies in computed tomographic colonography. Abdom. Imaging, 30(1), 26-41","journal-title":"Abdom. Imaging"},{"issue":"(2)","key":"4_CR171_Ref","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1148\/radiol.2222010506","volume":"222","author":"H Yoshida","year":"2002a","unstructured":"Yoshida, H., Masutani, Y., MacEneaney, P., Rubin, D.T., & Dachman, A.H. (2002a). Computerized detection of colonic polyps at CT colonography on the basis of volumetric features: Pilot study. Radiology, 222(2), 327-336","journal-title":"Radiology"},{"issue":"(12)","key":"4_CR172_Ref","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1109\/42.974921","volume":"20","author":"H Yoshida","year":"2001","unstructured":"Yoshida, H., & N\u00e4ppi, J. (2001). Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps. IEEE Trans. Med. Imaging, 20(12), 1261-1274","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"(4)","key":"4_CR173_Ref","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1148\/radiographics.22.4.g02jl16963","volume":"22","author":"H Yoshida","year":"2002b","unstructured":"Yoshida, H., N\u00e4ppi, J., MacEneaney, P., Rubin, D.T., & Dachman, A.H. (2002b). Computer-aided diagnosis scheme for detection of polyps at CT colonography. Radiographics, 22(4), 963-979","journal-title":"Radiographics"},{"key":"4_CR174_Ref","unstructured":"Zharkova, V.V., Ipson, S.S., Qahwaji, R., Zharkov, S., & Benkhalil, A. (2003a). An automated detection of magnetic line inversion and its correlation with filaments elongation in solar images. Barcelona, Spain: Proceedings of the SMMSP-2003, pp. 115-121"},{"issue":"(1)","key":"4_CR175_Ref","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1023\/A:1024081931946","volume":"214","author":"VV Zharkova","year":"2003b","unstructured":"Zharkova, V.V., Ipson, S.S., Zharkov, S.I., Benkhalil, A., Aboudarham, J., & Bentley, R.D. (2003b). A full disk image standardization of the synoptic solar observations at the Meudon Observatory. Solar Phys., 214(1), 89","journal-title":"Solar Phys."},{"key":"4_CR176_Ref","unstructured":"Zharkova, V.V., & Schetinin, V. (2003). The recognition of filaments in solar images with an artificial neural network. Bruges, Belgium: Proceedings of the ESANN-2003"},{"issue":"1-2","key":"4_CR177_Ref","first-page":"363","volume":"228","author":"V.V. Zharkova","year":"2003","unstructured":"Zharkova, V.V., & Schetinin, V. (2003, 2005). The recognition of filaments in solar images with an artificial neural network. Solar Phys., 228(1-2), 363-377","journal-title":"Solar Phys"}],"container-title":["Studies in Computational Intelligence","Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-47518-7_4.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T15:40:15Z","timestamp":1736955615000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-47518-7_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540475118","9783540475187"],"references-count":177,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-47518-7_4","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2007]]}}}