{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:33:01Z","timestamp":1743035581947,"version":"3.40.3"},"publisher-location":"London","reference-count":87,"publisher":"Springer London","isbn-type":[{"type":"print","value":"9781447156277"},{"type":"electronic","value":"9781447156284"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-1-4471-5628-4_10","type":"book-chapter","created":{"date-parts":[[2013,11,28]],"date-time":"2013-11-28T00:21:54Z","timestamp":1385598114000},"page":"247-287","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness"],"prefix":"10.1007","author":[{"given":"Ayd\u0131n","family":"Ula\u015f","sequence":"first","affiliation":[]},{"given":"Umberto","family":"Castellani","sequence":"additional","affiliation":[]},{"given":"Manuele","family":"Bicego","sequence":"additional","affiliation":[]},{"given":"Vittorio","family":"Murino","sequence":"additional","affiliation":[]},{"given":"Marcella","family":"Bellani","sequence":"additional","affiliation":[]},{"given":"Michele","family":"Tansella","sequence":"additional","affiliation":[]},{"given":"Paolo","family":"Brambilla","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"10_CR1","volume-title":"Introduction to Machine Learning","author":"E. Alpayd\u0131n","year":"2004","unstructured":"Alpayd\u0131n, E.: Introduction to Machine Learning. MIT Press, Cambridge (2004)"},{"issue":"1","key":"10_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/S1121189X00001378","volume":"18","author":"F. Amaddeo","year":"2009","unstructured":"Amaddeo, F., Tansella, M.: Information systems for mental health. Epidemiol. Psichiatr. Soc. 18(1), 1\u20134 (2009)","journal-title":"Epidemiol. Psichiatr. Soc."},{"key":"10_CR3","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1192\/bjp.bp.105.020990","volume":"191","author":"N. Andreone","year":"2007","unstructured":"Andreone, N., Tansella, M., Cerini, R., Versace, A., Rambaldelli, G., Perlini, C., Dusi, N., Pelizza, L., Balestrieri, M., Barbui, C., Nose, M., Gasparini, A., Brambilla, P.: Cortical white-matter microstructure in schizophrenia. diffusion imaging study. Br. J. Psychiatry 191, 113\u2013119 (2007)","journal-title":"Br. J. Psychiatry"},{"issue":"6","key":"10_CR4","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1006\/nimg.2000.0582","volume":"11","author":"J. Ashburner","year":"2000","unstructured":"Ashburner, J., Friston, K.J.: Voxel-based morphometry-the methods. NeuroImage 11(6), 805\u2013821 (2000)","journal-title":"NeuroImage"},{"key":"10_CR5","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1007\/978-3-642-02498-6_46","volume-title":"Proceedings of the 21st International Conference on Information Processing in Medical Imaging, IPMI\u201909","author":"S.P. Awate","year":"2009","unstructured":"Awate, S.P., Yushkevich, P., Song, Z., Licht, D., Gee, J.C.: Multivariate high-dimensional cortical folding analysis, combining complexity and shape, in neonates with congenital heart disease. In: Proceedings of the 21st International Conference on Information Processing in Medical Imaging, IPMI\u201909, pp. 552\u2013563 (2009)"},{"key":"10_CR6","first-page":"41","volume-title":"Proceedings of the 21st International Conference on Machine Learning","author":"F.R. Bach","year":"2004","unstructured":"Bach, F.R., Lanckriet, G.R.G., Jordan, M.I.: Multiple kernel learning, conic duality, and the SMO algorithm. In: Proceedings of the 21st International Conference on Machine Learning, pp. 41\u201348 (2004)"},{"issue":"1\u20133","key":"10_CR7","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.schres.2007.11.035","volume":"102","author":"M. Baiano","year":"2008","unstructured":"Baiano, M., Perlini, C., Rambaldelli, G., Cerini, R., Dusi, N., Bellani, M., Spezzapria, G., Versace, A., Balestrieri, M., Mucelli, R.P., Tansella, M., Brambilla, P.: Decreased entorhinal cortex volumes in schizophrenia. Schizophr. Res. 102(1\u20133), 171\u2013180 (2008)","journal-title":"Schizophr. Res."},{"issue":"3","key":"10_CR8","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1017\/S1121189X00001275","volume":"17","author":"M. Bellani","year":"2008","unstructured":"Bellani, M., Brambilla, P.: The use and meaning of the continuous performance test in schizophrenia. Epidemiol. Psichiatr. Soc. 17(3), 188\u2013191 (2008)","journal-title":"Epidemiol. Psichiatr. Soc."},{"key":"10_CR9","first-page":"2728","volume-title":"Proceedings of the International Conference on Pattern Recognition","author":"M. Bicego","year":"2010","unstructured":"Bicego, M., Lovato, P., Ferrarini, A., Delledonne, M.: Biclustering of expression microarray data with topic models. In: Proceedings of the International Conference on Pattern Recognition, pp. 2728\u20132731 (2010)"},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"1516","DOI":"10.1145\/1774088.1774415","volume-title":"Proceedings of the 2010 ACM Symposium on Applied Computing, SAC\u201910","author":"M. Bicego","year":"2010","unstructured":"Bicego, M., Lovato, P., Oliboni, B., Perina, A.: Expression microarray classification using topic models. In: Proceedings of the 2010 ACM Symposium on Applied Computing, SAC\u201910, New York, NY, USA, pp. 1516\u20131520 (2010)"},{"key":"10_CR11","doi-asserted-by":"publisher","first-page":"2637","DOI":"10.1016\/j.patcog.2009.03.023","volume":"42","author":"M. Bicego","year":"2009","unstructured":"Bicego, M., Pekalska, E., Tax, D.M.J., Duin, R.P.W.: Component-based discriminative classification for hidden Markov models. Pattern Recognit. 42, 2637\u20132648 (2009)","journal-title":"Pattern Recognit."},{"key":"10_CR12","first-page":"517","volume-title":"Proceedings of the European Conference on Computer Vision, ECCV\u201906","author":"A. Bosch","year":"2006","unstructured":"Bosch, A., Zisserman, A., Munoz, X.: Scene classification via pLSA. In: Proceedings of the European Conference on Computer Vision, ECCV\u201906, pp. 517\u2013530 (2006)"},{"issue":"4","key":"10_CR13","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1080\/09540260701507954","volume":"19","author":"P. Brambilla","year":"2007","unstructured":"Brambilla, P., Tansella, M.: Can neuroimaging studies help us in understanding the biological causes of schizophrenia? Int. Rev. Psychiatry 19(4), 313\u2013314 (2007)","journal-title":"Int. Rev. Psychiatry"},{"issue":"5","key":"10_CR14","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1109\/TPAMI.2010.210","volume":"33","author":"A.M. Bronstein","year":"2011","unstructured":"Bronstein, A.M., Bronstein, M.M.: Shape recognition with spectral distances. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 1065\u20131071 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"10_CR15","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.1109\/TNN.2008.2000203","volume":"19","author":"A. Browne","year":"2008","unstructured":"Browne, A., Jakary, A., Vinogradov, S., Fu, Y., Deicken, R.: Automatic relevance determination for identifying thalamic regions implicated in schizophrenia. IEEE Trans. Neural Netw. 19(6), 1101\u20131107 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"key":"10_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1007\/978-3-642-23629-7_52","volume-title":"Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201911","author":"U. Castellani","year":"2011","unstructured":"Castellani, U., Mirtuono, P., Murino, V., Bellani, M., Rambaldelli, G., Tansella, M., Brambilla, P.: A new shape diffusion descriptor for brain classification. In: Fichtinger, G., Martel, A., Peters, T. (eds.) Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201911. Lecture Notes in Computer Science, vol.\u00a06892, pp. 426\u2013433 (2011)"},{"key":"10_CR17","series-title":"MICCAI","first-page":"177","volume-title":"Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201910","author":"U. Castellani","year":"2010","unstructured":"Castellani, U., Perina, A., Murino, V., Bellani, M., Rambaldelli, G., Tansella, M., Brambilla, P.: Brain morphometry by probabilistic latent semantic analysis. In: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201910, MICCAI, pp. 177\u2013184 (2010)"},{"issue":"6","key":"10_CR18","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1016\/S0031-3203(01)00118-2","volume":"35","author":"S.H. Cha","year":"2002","unstructured":"Cha, S.H., Srihari, S.N.: On measuring the distance between histograms. Pattern Recognit. 35(6), 1355\u20131370 (2002)","journal-title":"Pattern Recognit."},{"key":"10_CR19","volume-title":"LIBSVM: a Library for Support Vector Machines","author":"C.C. Chang","year":"2001","unstructured":"Chang, C.C., Lin, C.J.: In: LIBSVM: a Library for Support Vector Machines (2001). http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"key":"10_CR20","first-page":"47","volume-title":"Proceedings of Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP\u201909","author":"D.S. Cheng","year":"2009","unstructured":"Cheng, D.S., Bicego, M., Castellani, U., Cerruti, S., Bellani, M., Rambaldelli, G., Atzori, M., Brambilla, P., Murino, V.: Schizophrenia classification using regions of interest in brain MRI. In: Proceedings of Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP\u201909, pp. 47\u201352 (2009)"},{"key":"10_CR21","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1002\/hbm.21246","volume":"33","author":"C. Corradi-Dell\u2019Acqua","year":"2012","unstructured":"Corradi-Dell\u2019Acqua, C., Tomelleri, L., Bellani, M., Rambaldelli, G., Cerini, R., Pozzi-Mucelli, R., Balestrieri, M., Tansella, M., Brambilla, P.: Thalamic-insular disconnectivity in schizophrenia: evidence from structural equation modeling. Hum. Brain Mapp. 33, 740\u2013752 (2012)","journal-title":"Hum. Brain Mapp."},{"key":"10_CR22","first-page":"396","volume-title":"Advances in Neural Information Processing Systems","author":"C. Cortes","year":"2010","unstructured":"Cortes, C., Mohri, M., Rostamizadeh, A.: Learning non-linear combinations of kernels. In: Advances in Neural Information Processing Systems, vol. 22, pp. 396\u2013404 (2010)"},{"key":"10_CR23","first-page":"1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"M. Cristani","year":"2008","unstructured":"Cristani, M., Perina, A., Castellani, U., Murino, V.: Geo-located image analysis using latent representations. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138 (2008)"},{"key":"10_CR24","first-page":"1169","volume":"6","author":"M. Cuturi","year":"2005","unstructured":"Cuturi, M., Fukumizu, K., Vert, J.P.: Semigroup kernels on measures. J. Mach. Learn. Res. 6, 1169\u20131198 (2005)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"10_CR25","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.neuroimage.2004.05.010","volume":"23","author":"C. Davatzikos","year":"2004","unstructured":"Davatzikos, C.: Why voxel-based morphometric analysis should be used with great caution when characterizing group differences. NeuroImage 23(1), 17\u201320 (2004)","journal-title":"NeuroImage"},{"issue":"1","key":"10_CR26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A.P. Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B 39(1), 1\u201338 (1977)","journal-title":"J. R. Stat. Soc. B"},{"key":"10_CR27","volume-title":"Pattern Classification","author":"R.O. Duda","year":"2000","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley-Interscience, New York (2000)","edition":"2"},{"key":"10_CR28","unstructured":"Duin, R.P.W.: Prtools, a Matlab toolbox for pattern recognition version 4.0.14 (2005). http:\/\/www.prtools.org\/"},{"key":"10_CR29","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1118\/1.595484","volume":"11","author":"W.A. Edelstein","year":"1984","unstructured":"Edelstein, W.A., Bottomley, P.A., Pfeifer, L.M.: A signal-to-noise calibration procedure for NMR imaging systems. Med. Phys. 11, 180\u2013185 (1984)","journal-title":"Med. Phys."},{"issue":"1","key":"10_CR30","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1109\/TMI.2006.886812","volume":"26","author":"Y. Fan","year":"2007","unstructured":"Fan, Y., Shen, D., Gur, R.C., Gur, R.E., Davatzikos, C.: COMPARE: classification of morphological patterns using adaptive regional elements. IEEE Trans. Med. Imaging 26(1), 93\u2013105 (2007)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"10_CR31","doi-asserted-by":"publisher","first-page":"1392","DOI":"10.1109\/TPAMI.2005.169","volume":"27","author":"B.J. Frey","year":"2005","unstructured":"Frey, B.J., Jojic, N.: A comparison of algorithms for inference and learning in probabilistic graphical models. IEEE Trans. Pattern Anal. Mach. Intell. 27(9), 1392\u20131416 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR32","first-page":"24","volume-title":"Proceedings of the International Conference on Medical Image Computing, MICCAI\u201901","author":"G. Gerig","year":"2001","unstructured":"Gerig, G., Styner, M., Shenton, M.E., Lieberman, J.A.: Shape versus size: improved understanding of the morphology of brain structures. In: Proceedings of the International Conference on Medical Image Computing, MICCAI\u201901, pp. 24\u201332 (2001)"},{"issue":"2\u20133","key":"10_CR33","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.schres.2004.08.019","volume":"74","author":"N.R. Giuliani","year":"2005","unstructured":"Giuliani, N.R., Calhouna, V.D., Pearlson, G.D., Francis, A., Buchanan, R.W.: Voxel-based morphometry versus region of interest: a comparison of two methods for analyzing gray matter differences in schizophrenia. Schizophr. Res. 74(2\u20133), 135\u2013147 (2005)","journal-title":"Schizophr. Res."},{"key":"10_CR34","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1145\/1390156.1390201","volume-title":"Proceedings of the 25th International Conference on Machine Learning","author":"M. G\u00f6nen","year":"2008","unstructured":"G\u00f6nen, M., Alpayd\u0131n, E.: Localized multiple kernel learning. In: Proceedings of the 25th International Conference on Machine Learning, pp. 352\u2013359 (2008)"},{"key":"10_CR35","first-page":"2181","volume":"12","author":"M. G\u00f6nen","year":"2011","unstructured":"G\u00f6nen, M., Alpayd\u0131n, E.: Multiple kernel learning algorithms. J. Mach. Learn. Res. 12, 2181\u20132238 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"10_CR36","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1007\/978-3-642-24471-1_18","volume-title":"Proceedings of the International Workshop on Similarity-Based Pattern Analysis, SIMBAD\u201911","author":"M. G\u00f6nen","year":"2011","unstructured":"G\u00f6nen, M., Ula\u015f, A., Sch\u00fcffler, P.J., Castellani, U., Murino, V.: Combining data sources nonlinearly for cell nucleus classification of renal cell carcinoma. In: Pelillo, M., Hancock, E.R. (eds.) Proceedings of the International Workshop on Similarity-Based Pattern Analysis, SIMBAD\u201911. Lecture Notes in Computer Science, vol. 7005, pp. 250\u2013260. Springer, Berlin (2011)"},{"key":"10_CR37","first-page":"914","volume-title":"Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201902","author":"T. Hofmann","year":"2000","unstructured":"Hofmann, T.: Learning the similarity of documents: an information-geometric approach to document retrieval and categorization. In: Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201902, pp. 914\u2013920 (2000)"},{"issue":"1\u20132","key":"10_CR38","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1023\/A:1007617005950","volume":"42","author":"T. Hofmann","year":"2001","unstructured":"Hofmann, T.: Unsupervised learning by probabilistic latent semantic analysis. Mach. Learn. 42(1\u20132), 177\u2013196 (2001)","journal-title":"Mach. Learn."},{"key":"10_CR39","first-page":"487","volume-title":"Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201998","author":"T.S. Jaakkola","year":"1998","unstructured":"Jaakkola, T.S., Haussler, D.: Exploiting generative models in discriminative classifiers. In: Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201998, Cambridge, MA, USA, vol. 11, pp. 487\u2013493 (1998)"},{"key":"10_CR40","first-page":"819","volume":"5","author":"T. Jebara","year":"2004","unstructured":"Jebara, T., Kondor, R., Howard, A.: Probability product kernels. J. Mach. Learn. Res. 5, 819\u2013844 (2004)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"10_CR41","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.neuroimage.2006.08.018","volume":"34","author":"Y. Kawasaki","year":"2007","unstructured":"Kawasaki, Y., Suzuki, M., Kherif, F., Takahashi, T., Zhou, S.Y., Nakamura, K., Matsui, M., Sumiyoshi, T., Seto, H., Kurachi, M.: Multivariate voxel-based morphometry successfully differentiates schizophrenia patients from healthy controls. NeuroImage 34(1), 235\u2013242 (2007)","journal-title":"NeuroImage"},{"issue":"3","key":"10_CR42","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1109\/34.667881","volume":"20","author":"J. Kittler","year":"1998","unstructured":"Kittler, J., Hatef, M., Duin, R.P.W., Matas, J.: On combining classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20(3), 226\u2013239 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR43","first-page":"953","volume":"12","author":"M. Kloft","year":"2011","unstructured":"Kloft, M., Brefeld, U., Sonnenburg, S., Zien, A.: l p -norm multiple kernel learning. J. Mach. Learn. Res. 12, 953\u2013997 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"10_CR44","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1016\/0262-8856(92)90076-F","volume":"10","author":"J.J. Koenderink","year":"1992","unstructured":"Koenderink, J.J., van Doorn, A.J.: Surface shape and curvature scales. Image Vis. Comput. 10, 557\u2013565 (1992)","journal-title":"Image Vis. Comput."},{"key":"10_CR45","doi-asserted-by":"publisher","DOI":"10.1002\/0471660264","volume-title":"Combining Pattern Classifiers: Methods and Algorithms","author":"L.I. Kuncheva","year":"2004","unstructured":"Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms. Wiley-Interscience, New York (2004)"},{"key":"10_CR46","first-page":"27","volume":"5","author":"G.R.G. Lanckriet","year":"2004","unstructured":"Lanckriet, G.R.G., Cristianini, N., Bartlett, P., Ghaoui, L.E., Jordan, M.I.: Learning the kernel matrix with semidefinite programming. J. Mach. Learn. Res. 5, 27\u201372 (2004)","journal-title":"J. Mach. Learn. Res."},{"key":"10_CR47","first-page":"304","volume-title":"2nd International Workshop on Cognitive Information Processing (CIP)","author":"W.J. Lee","year":"2010","unstructured":"Lee, W.J., Duin, R.P.W., Loog, M., Ibba, A.: An experimental study on combining Euclidean distances. In: 2nd International Workshop on Cognitive Information Processing (CIP), pp.\u00a0304\u2013309 (2010)"},{"key":"10_CR48","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1145\/1143844.1143914","volume-title":"Proceedings of the 23rd International Conference on Machine Learning","author":"D.P. Lewis","year":"2006","unstructured":"Lewis, D.P., Jebara, T., Noble, W.S.: Nonstationary kernel combination. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 553\u2013560 (2006)"},{"key":"10_CR49","first-page":"2713","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR\u201911","author":"X. Li","year":"2011","unstructured":"Li, X., Lee, T.S., Liu, Y.: Hybrid generative-discriminative classification using posterior divergence. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR\u201911, pp. 2713\u20132720 (2011)"},{"key":"10_CR50","first-page":"246","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR\u201906","author":"H. Ling","year":"2006","unstructured":"Ling, H., Okada, K.: Diffusion distance for histogram comparison. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR\u201906, vol. 1, pp. 246\u2013253 (2006)"},{"key":"10_CR51","first-page":"393","volume-title":"Proceedings of the Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201904","author":"Y. Liu","year":"2004","unstructured":"Liu, Y., Teverovskiy, L., Carmichael, O., Kikinis, R., Shenton, M., Carter, C.S., Stenger, V.A., Davis, S., Aizenstein, H., Becker, J.T., Lopez, O.L., Meltzer, C.C.: Discriminative MR image feature analysis for automatic schizophrenia and Alzheimer\u2019s disease classification. In: Proceedings of the Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201904, pp. 393\u2013401 (2004)"},{"key":"10_CR52","first-page":"935","volume":"10","author":"A.F.T. Martins","year":"2009","unstructured":"Martins, A.F.T., Smith, N.A., Xing, E.P., Aguiar, P.M.Q., Figueiredo, M.A.T.: Nonextensive information theoretic kernels on measures. J. Mach. Learn. Res. 10, 935\u2013975 (2009)","journal-title":"J. Mach. Learn. Res."},{"key":"10_CR53","first-page":"841","volume-title":"Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201902","author":"A.Y. Ng","year":"2002","unstructured":"Ng, A.Y., Jordan, M.I.: On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes. In: Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201902, vol. 14, pp. 841\u2013848 (2002)"},{"issue":"2","key":"10_CR54","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1109\/42.836373","volume":"19","author":"L.G. Ny\u00fal","year":"2000","unstructured":"Ny\u00fal, L.G., Udupa, J.K., Zhang, X.: New variants of a method of MRI scale standardization. IEEE Trans. Med. Imaging 19(2), 143\u2013150 (2000)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10_CR55","doi-asserted-by":"crossref","DOI":"10.1142\/5965","volume-title":"The Dissimilarity Representation for Pattern Recognition. Foundations and Applications","author":"E. Pekalska","year":"2005","unstructured":"Pekalska, E., Duin, R.P.W.: The Dissimilarity Representation for Pattern Recognition. Foundations and Applications. World Scientific, Singapore (2005)"},{"key":"10_CR56","first-page":"1428","volume-title":"Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201909","author":"A. Perina","year":"2009","unstructured":"Perina, A., Cristani, M., Castellani, U., Murino, V., Jojic, N.: Free energy score space. In: Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201909, vol. 22, pp. 1428\u20131436 (2009)"},{"key":"10_CR57","doi-asserted-by":"publisher","first-page":"2058","DOI":"10.1109\/ICCV.2009.5459453","volume-title":"Proceedings of the IEEE International Conference on Computer Vision, ICCV\u201909","author":"A. Perina","year":"2009","unstructured":"Perina, A., Cristani, M., Castellani, U., Murino, V., Jojic, N.: A hybrid generative\/discriminative classification framework based on free-energy terms. In: Proceedings of the IEEE International Conference on Computer Vision, ICCV\u201909, pp. 2058\u20132065 (2009)"},{"key":"10_CR58","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/978-3-642-02498-6_25","volume-title":"IPMI\u201909: Proceedings of the 21st International Conference on Information Processing in Medical Imaging","author":"K.M. Pohl","year":"2009","unstructured":"Pohl, K.M., Sabuncu, M.R.: A unified framework for MR based disease classification. In: IPMI\u201909: Proceedings of the 21st International Conference on Information Processing in Medical Imaging, pp. 300\u2013313 (2009)"},{"issue":"4","key":"10_CR59","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1093\/cercor\/10.4.433","volume":"10","author":"J. Pruessner","year":"2000","unstructured":"Pruessner, J., Li, L., Serles, W., Pruessner, M., Collins, D., Kabani, N., Lupien, S., Evans, A.: Volumetry of hippocampus and amygdala with high-resolution MRI and three-dimensional analysis software: minimizing the discrepancies between laboratories. Cereb. Cortex 10(4), 433\u2013442 (2000)","journal-title":"Cereb. Cortex"},{"key":"10_CR60","first-page":"2491","volume":"9","author":"A. Rakotomamonjy","year":"2008","unstructured":"Rakotomamonjy, A., Bach, F.R., Canu, S., Grandvalet, Y.: Simple MKL. J. Mach. Learn. Res. 9, 2491\u20132521 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"10_CR61","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/1877808.1877817","volume-title":"Workshop on 3D Object Retrieval","author":"D. Raviv","year":"2010","unstructured":"Raviv, D., Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Volumetric heat kernel signatures. In: Workshop on 3D Object Retrieval, pp. 39\u201344 (2010)"},{"key":"10_CR62","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1148\/radiol.2411051051","volume":"24","author":"K.M. Ray","year":"2006","unstructured":"Ray, K.M., Wang, H., Chu, Y., Chen, Y.F., Bert, A., Hasso, A.N., Su, M.Y.: Mild cognitive impairment: apparent diffusion coefficient in regional gray matter and white matter structures. Radiology 24, 197\u2013205 (2006)","journal-title":"Radiology"},{"issue":"10","key":"10_CR63","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1016\/j.cad.2009.02.007","volume":"41","author":"M. Reuter","year":"2009","unstructured":"Reuter, M., Wolter, F.E., Shenton, M., Niethammer, M.: Laplace\u2013Beltrami eigenvalues and topological features on eigenfunctions for statistical shape analysis. Comput. Aided Des. 41(10), 739\u2013755 (2009)","journal-title":"Comput. Aided Des."},{"key":"10_CR64","doi-asserted-by":"publisher","first-page":"1406","DOI":"10.1001\/archneur.59.9.1406","volume":"59","author":"M. Rovaris","year":"2002","unstructured":"Rovaris, M., Bozzali, M., Iannucci, G., Ghezzi, A., Caputo, D., Montanari, E., Bertolotto, A., Bergamaschi, R., Capra, R., Mancardi, G.L., Martinelli, V., Comi, G., Filippi, M.: Assessment of normal-appearing white and gray matter in patients with primary progressive multiple sclerosis\u2014a diffusion-tensor magnetic resonance imaging study. Arch. Neurol. 59, 1406\u20131412 (2002)","journal-title":"Arch. Neurol."},{"issue":"2","key":"10_CR65","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1023\/A:1026543900054","volume":"40","author":"Y. Rubner","year":"2000","unstructured":"Rubner, Y., Tomasi, C., Guibas, L.J.: The Earth mover\u2019s distance as a metric for image retrieval. Int. J. Comput. Vis. 40(2), 99\u2013121 (2000)","journal-title":"Int. J. Comput. Vis."},{"issue":"2","key":"10_CR66","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1017\/S1121189X00000944","volume":"18","author":"D. Rujescu","year":"2009","unstructured":"Rujescu, D., Collier, D.A.: Dissecting the many genetic faces of schizophrenia. Epidemiol. Psichiatr. Soc. 18(2), 91\u201395 (2009)","journal-title":"Epidemiol. Psichiatr. Soc."},{"key":"10_CR67","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G. Schwarz","year":"1979","unstructured":"Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6, 461\u2013464 (1979)","journal-title":"Ann. Stat."},{"issue":"5","key":"10_CR68","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1016\/j.patcog.2005.12.005","volume":"39","author":"F. Serratosa","year":"2006","unstructured":"Serratosa, F., Sanfeliu, A.: Signatures versus histograms: definitions, distances and algorithms. Pattern Recognit. 39(5), 921\u2013934 (2006)","journal-title":"Pattern Recognit."},{"key":"10_CR69","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682","volume-title":"Kernel Methods for Pattern Analysis","author":"J. Shawe-Taylor","year":"2004","unstructured":"Shawe-Taylor, J., Cristianini, N.: Kernel Methods for Pattern Analysis. Cambridge University Press, Cambridge (2004)"},{"issue":"1\u20132","key":"10_CR70","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0920-9964(01)00163-3","volume":"49","author":"M.E. Shenton","year":"2001","unstructured":"Shenton, M.E., Dickey, C.C., Frumin, M., McCarley, R.W.: A review of MRI findings in schizophrenia. Schizophr. Res. 49(1\u20132), 1\u201352 (2001)","journal-title":"Schizophr. Res."},{"key":"10_CR71","first-page":"1197","volume-title":"Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201902","author":"N. Smith","year":"2002","unstructured":"Smith, N., Gales, M.: Speech recognition using SVMs. In: Proceedings of the Conference on Advances in Neural Information Processing Systems, NIPS\u201902, vol. 14, pp. 1197\u20131204 (2002)"},{"key":"10_CR72","unstructured":"Smith, N.D., Gales, M.J.F.: Using SVMs to classify variable length speech patterns. Tech. Rep. CUED\/F-INFENG\/TR\u2013412, Cambridge University Engineering Department (2002)"},{"key":"10_CR73","first-page":"1383","volume-title":"Proceedings of the Symposium on Geometry Processing, SGP\u201909","author":"J. Sun","year":"2009","unstructured":"Sun, J., Ovsjanikov, M., Guibas, L.: A concise and provably informative multi-scale signature based on heat diffusion. In: Proceedings of the Symposium on Geometry Processing, SGP\u201909, pp. 1383\u20131392 (2009)"},{"issue":"1","key":"10_CR74","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/BF00130487","volume":"7","author":"M.J. Swain","year":"1991","unstructured":"Swain, M.J., Ballard, D.H.: Color indexing. Int. J. Comput. Vis. 7(1), 11\u201332 (1991)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"10_CR75","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.biopsych.2003.07.001","volume":"55","author":"W.D. Taylor","year":"2004","unstructured":"Taylor, W.D., Hsu, E., Krishnan, K.R.R., MacFall, J.R.: Diffusion tensor imaging: background, potential, and utility in psychiatric research. Biol. Psychiatry 55(3), 201\u2013207 (2004)","journal-title":"Biol. Psychiatry"},{"key":"10_CR76","first-page":"355","volume-title":"Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201902","author":"S.J. Timoner","year":"2002","unstructured":"Timoner, S.J., Golland, P., Kikinis, R., Shenton, M.E., Grimson, W.E.L., Wells\u00a0III, W.M.: Performance issues in shape classification. In: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201902, pp. 355\u2013362 (2002)"},{"key":"10_CR77","first-page":"109","volume-title":"Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201909","author":"M. Toews","year":"2009","unstructured":"Toews, M., Wells\u00a0III, W., Collins, D.L., Arbel, T.: Feature-based morphometry. In: Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI\u201909, pp. 109\u2013116 (2009)"},{"issue":"2","key":"10_CR78","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1017\/S0033291710000875","volume":"41","author":"B. Tomasino","year":"2010","unstructured":"Tomasino, B., Bellani, M., Perlini, C., Rambaldelli, G., Cerini, R., Isola, M., Balestrieri, M., Caligrave, S., Versace, A., Mucelli, R.P., Gasparini, A., Tansella, M., Brambilla, P.: Altered microstructure integrity of the amygdala in schizophrenia: a bimodal MRI and DWI study. Psychol. Med. 41(2), 301\u2013311 (2010)","journal-title":"Psychol. Med."},{"key":"10_CR79","doi-asserted-by":"publisher","first-page":"2397","DOI":"10.1162\/08997660260293274","volume":"14","author":"K. Tsuda","year":"2002","unstructured":"Tsuda, K., Kawanabe, M., R\u00e4tsch, G., Sonnenburg, S., M\u00fcller, K.R.: A new discriminative kernel from probabilistic models. Neural Comput. 14, 2397\u20132414 (2002)","journal-title":"Neural Comput."},{"key":"10_CR80","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1007\/978-3-642-25085-9_58","volume-title":"Proceedings of the Iberoamerican Congress on Pattern Recognition, CIARP\u201911","author":"A. Ula\u015f","year":"2011","unstructured":"Ula\u015f, A., Castellani, U., Mirtuono, P., Bicego, M., Murino, V., Cerruti, S., Bellani, M., Atzori, M., Rambaldell, G., Tansella, M., Brambilla, P.: Multimodal schizophrenia detection by multiclassification analysis. In: Mart\u00edn, C.S., Kim, S.W. (eds.) Proceedings of the Iberoamerican Congress on Pattern Recognition, CIARP\u201911. Lecture Notes in Computer Science, vol. 7042, pp. 491\u2013498. Springer, Berlin (2011)"},{"key":"10_CR81","series-title":"Lecture Notes in Bioinformatics","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1007\/978-3-642-24855-9_27","volume-title":"IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB\u201911","author":"A. Ula\u015f","year":"2011","unstructured":"Ula\u015f, A., Castellani, U., Murino, V., Bellani, M., Tansella, M., Brambilla, P.: Heat diffusion based dissimilarity analysis for schizophrenia classification. In: M.L. et al. (ed.) IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB\u201911. Lecture Notes in Bioinformatics, vol. 7036, pp. 306\u2013317. Springer, Berlin (2011)"},{"issue":"2","key":"10_CR82","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1002\/ima.20279","volume":"21","author":"A. Ula\u015f","year":"2011","unstructured":"Ula\u015f, A., Duin, R.P.W., Castellani, U., Loog, M., Mirtuono, P., Bicego, M., Murino, V., Bellani, M., Cerruti, S., Tansella, M., Brambilla, P.: Dissimilarity-based detection of schizophrenia. Int. J. Imaging Syst. Technol. 21(2), 179\u2013192 (2011)","journal-title":"Int. J. Imaging Syst. Technol."},{"key":"10_CR83","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.ins.2011.10.024","volume":"187","author":"A. Ula\u015f","year":"2012","unstructured":"Ula\u015f, A., Y\u0131ld\u0131z, O.T., Alpayd\u0131n, E.: Eigenclassifiers for combining correlated classifiers. Inf. Sci. 187, 109\u2013120 (2012)","journal-title":"Inf. Sci."},{"key":"10_CR84","volume-title":"Statistical Learning Theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical Learning Theory. Wiley, New York (1998)"},{"issue":"4","key":"10_CR85","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.neuroimage.2008.08.013","volume":"43","author":"N.L. Voets","year":"2008","unstructured":"Voets, N.L., Hough, M.G., Douaud, G., Matthews, P.M., James, A., Winmill, L., Webster, P., Smith, S.: Evidence for abnormalities of cortical development in adolescent-onset schizophrenia. NeuroImage 43(4), 665\u2013675 (2008)","journal-title":"NeuroImage"},{"key":"10_CR86","first-page":"1175","volume-title":"Proceedings of the 27th International Conference on Machine Learning, ICML\u201910","author":"Z. Xu","year":"2010","unstructured":"Xu, Z., Jin, R., Yang, H., King, I., Lyu, M.R.: Simple and efficient multiple kernel learning by group Lasso. In: Proceedings of the 27th International Conference on Machine Learning, ICML\u201910, pp. 1175\u20131182 (2010)"},{"issue":"4","key":"10_CR87","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.1016\/j.neuroimage.2006.11.021","volume":"34","author":"U. Yoon","year":"2007","unstructured":"Yoon, U., Lee, J.M., Im, K., Shin, Y.W., Cho, B.H., Kim, I.Y., Kwon, J.S., Kim, S.I.: Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. NeuroImage 34(4), 1405\u20131415 (2007)","journal-title":"NeuroImage"}],"container-title":["Advances in Computer Vision and Pattern Recognition","Similarity-Based Pattern Analysis and Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4471-5628-4_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T16:02:32Z","timestamp":1716220952000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-4471-5628-4_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9781447156277","9781447156284"],"references-count":87,"URL":"https:\/\/doi.org\/10.1007\/978-1-4471-5628-4_10","relation":{},"ISSN":["2191-6586","2191-6594"],"issn-type":[{"type":"print","value":"2191-6586"},{"type":"electronic","value":"2191-6594"}],"subject":[],"published":{"date-parts":[[2013]]}}}