{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:35:41Z","timestamp":1725946541735},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319676418"},{"type":"electronic","value":"9783319676425"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-67642-5_36","type":"book-chapter","created":{"date-parts":[[2018,1,31]],"date-time":"2018-01-31T20:07:44Z","timestamp":1517429264000},"page":"432-441","source":"Crossref","is-referenced-by-count":2,"title":["Detection of Important Features from Images Using Heuristic Approach"],"prefix":"10.1007","author":[{"given":"Dawid","family":"Po\u0142ap","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Wo\u017aniak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,9,23]]},"reference":[{"issue":"4","key":"36_CR1","first-page":"781","volume":"40","author":"X Bai","year":"2016","unstructured":"Bai, X., Niwas, S.I., Lin, W., Ju, B., Kwoh, C.K., Wang, L., Sng, C.C., Aquino, M.C., Chew, P.T.K.: Learning ECOC code matrix for multiclass classification with application to glaucoma diagnosis. J. Med. Syst. 40(4), 781\u20137810 (2016)","journal-title":"J. Med. Syst."},{"key":"36_CR2","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.compbiomed.2016.04.010","volume":"73","author":"A Fabijanska","year":"2016","unstructured":"Fabijanska, A.: A novel approach for quantification of time-intensity curves in a DCE-MRI image series with an application to prostate cancer. Comput. Biol. Med. 73, 119\u2013130 (2016)","journal-title":"Comput. Biol. Med."},{"key":"36_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1007\/978-3-662-53090-0_6","volume-title":"Transactions on Computational Science XXVIII","author":"X Hou","year":"2016","unstructured":"Hou, X., Liu, Y., Lim, W.L., Lan, Z., Sourina, O., Mueller-Wittig, W., Wang, L.: CogniMeter: EEG-based brain states monitoring. In: Gavrilova, Marina L., Tan, C.J.Kenneth, Sourin, A. (eds.) Transactions on Computational Science XXVIII. LNCS, vol. 9590, pp. 108\u2013126. Springer, Heidelberg (2016). doi: 10.1007\/978-3-662-53090-0_6"},{"key":"36_CR4","doi-asserted-by":"publisher","first-page":"2430","DOI":"10.1109\/ACCESS.2017.2666218","volume":"5","author":"Y Fang","year":"2017","unstructured":"Fang, Y., Yuan, Y., Li, L., Wu, J., Lin, W., Li, Z.: Performance evaluation of visual tracking algorithms on video sequences with quality degradation. IEEE Access 5, 2430\u20132441 (2017). doi: 10.1109\/ACCESS.2017.2666218","journal-title":"IEEE Access"},{"issue":"7","key":"36_CR5","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1080\/01691864.2016.1271500","volume":"31","author":"EHC Harik","year":"2017","unstructured":"Harik, E.H.C., Guerin, F., Guinand, F., Breth\u00e9, J., Pelvillain, H., Par\u00e9d\u00e9, J.: Fuzzy logic controller for predictive vision-based target tracking with an unmanned aerial vehicle. Adv. Robot. 31(7), 368\u2013381 (2017). doi: 10.1080\/01691864.2016.1271500","journal-title":"Adv. Robot."},{"key":"36_CR6","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.patcog.2016.12.028","volume":"66","author":"M Yang","year":"2017","unstructured":"Yang, M., Wang, X., Zeng, G., Shen, L.: Joint and collaborative representation with local adaptive convolution feature for face recognition with single sample per person. Pattern Recogn. 66, 117\u2013128 (2017). doi: 10.1016\/j.patcog.2016.12.028","journal-title":"Pattern Recogn."},{"key":"36_CR7","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.patcog.2017.01.015","volume":"66","author":"R Qiao","year":"2017","unstructured":"Qiao, R., Liu, L., Shen, C., van den Hengel, A.: Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recogn. 66, 202\u2013212 (2017). doi: 10.1016\/j.patcog.2017.01.015","journal-title":"Pattern Recogn."},{"key":"36_CR8","doi-asserted-by":"crossref","unstructured":"Burdescu, D.D., Stanescu, L., Brezovan, M., Slabu, F., Eb\u00e2nca, D.: Multimedia data for efficient detection of visual objects. In: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, IMCOM 2017, Beppu, Japan, 5\u20137 January 2017","DOI":"10.1145\/3022227.3022287"},{"key":"36_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/978-3-319-39384-1_56","volume-title":"Artificial Intelligence and Soft Computing","author":"M Gabryel","year":"2016","unstructured":"Gabryel, M.: The bag-of-features algorithm for practical applications using the MySQL database. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, Lotfi A., Zurada, Jacek M. (eds.) ICAISC 2016. LNCS, vol. 9693, pp. 635\u2013646. Springer, Cham (2016). doi: 10.1007\/978-3-319-39384-1_56"},{"issue":"3","key":"36_CR10","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1515\/pomr-2016-0026","volume":"23","author":"W Kazimierski","year":"2016","unstructured":"Kazimierski, W., Wlodarczyk-Sielicka, M.: Technology of spatial data geometrical simplification in maritime mobile information system for coastal waters. Pol. Marit. Res. 23(3), 3\u201312 (2016). Gdansk University of Technology","journal-title":"Pol. Marit. Res."},{"key":"36_CR11","doi-asserted-by":"publisher","unstructured":"Grycuk, R., Gabryel, M., Nowicki, R., Scherer, R.: Content-based image retrieval optimization by differential evolution. In: IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, BC, Canada, 24\u201329 July 2016, pp. 86\u201393 2016. doi: 10.1109\/CEC.2016.7743782","DOI":"10.1109\/CEC.2016.7743782"},{"issue":"2","key":"36_CR12","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1023\/A:1026502202780","volume":"40","author":"R Pope","year":"1998","unstructured":"Pope, R., Lowe, D.: Probabilistic models of appearance for 3-D object recognition. Int. J. Comput. Vis. 40(2), 149\u2013167 (1998)","journal-title":"Int. J. Comput. Vis."},{"issue":"15","key":"36_CR13","doi-asserted-by":"crossref","first-page":"2469","DOI":"10.1016\/S0042-6989(98)00030-3","volume":"38","author":"R Nelson","year":"1998","unstructured":"Nelson, R., Selinger, A.: Large-scale tests of a keyed, appearance based 3-D object recognition system. Vis. Res. 38(15), 2469\u20132488 (1998)","journal-title":"Vis. Res."},{"key":"36_CR14","unstructured":"Se, S., Lowe, D., Little, J.: Global localization using distinctive visual features. In: Proceedings of the ICIROS 2002 , pp. 226\u2013231 (2002)"},{"key":"36_CR15","volume-title":"Algorithms for Image Processing and Computer Vision","author":"J Parker","year":"2010","unstructured":"Parker, J.: Algorithms for Image Processing and Computer Vision. Wiley, New York (2010)"},{"issue":"2","key":"36_CR16","doi-asserted-by":"crossref","first-page":"449","DOI":"10.13031\/2013.2724","volume":"43","author":"Z Wen","year":"2000","unstructured":"Wen, Z., Tao, Y.: Dual-camera NIR\/MIR imaging for stem-end\/CALYX identification in apple defect sorting. Trans. ASAE 43(2), 449\u2013452 (2000)","journal-title":"Trans. ASAE"},{"key":"36_CR17","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.cl.2017.04.003","volume":"49","author":"M Nos\u00e1l","year":"2017","unstructured":"Nos\u00e1l, M., Porub\u00e4n, J., Sul\u00edr, M.: Customizing host IDE for non-programming users of pure embedded DSLs: A case study. Comput. Lang. Syst. Struct. 49, 101\u2013118 (2017). doi: 10.1016\/j.cl.2017.04.003","journal-title":"Comput. Lang. Syst. Struct."},{"key":"36_CR18","doi-asserted-by":"publisher","unstructured":"Wozniak, M., Polap, D., Capizzi, G., Sciuto, G.L.: Toward adaptive heuristic video frames capturing and correction in real-time. In: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016, Gdansk, Poland, 11\u201314 September 2016, pp. 849\u2013852 (2016), doi: 10.15439\/2016F143","DOI":"10.15439\/2016F143"},{"issue":"18","key":"36_CR19","doi-asserted-by":"crossref","first-page":"7617","DOI":"10.1016\/j.eswa.2013.07.060","volume":"40","author":"R Panda","year":"2013","unstructured":"Panda, R., Agrawal, S., Bhuyan, S.: Edge magnitude based multilevel thresholding using cuckoo search technique. Expert Syst. Appl. 40(18), 7617\u20137628 (2013)","journal-title":"Expert Syst. Appl."},{"issue":"17","key":"36_CR20","doi-asserted-by":"crossref","first-page":"7858","DOI":"10.1016\/j.eswa.2014.06.011","volume":"41","author":"A Mishra","year":"2014","unstructured":"Mishra, A., Agarwal, C., Sharma, A., Bedi, P.: Optimized grayscale image watermarking using DWT\u2013SVD and firefly algorithm. Expert Syst. Appl. 41(17), 7858\u20137867 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"14","key":"36_CR21","doi-asserted-by":"crossref","first-page":"6315","DOI":"10.1016\/j.eswa.2014.03.012","volume":"41","author":"GS Walia","year":"2014","unstructured":"Walia, G.S., Kapoor, R.: Intelligent video target tracking using an evolutionary particle filter based upon improved cuckoo search. Expert Syst. Appl. 41(14), 6315\u20136326 (2014)","journal-title":"Expert Syst. Appl."},{"key":"36_CR22","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195131581.001.0001","volume-title":"Swarm Intelligence: From Natural to Artificial Systems","author":"E Baonabeau","year":"1999","unstructured":"Baonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, Oxford (1999)"},{"issue":"5","key":"36_CR23","doi-asserted-by":"publisher","first-page":"1697","DOI":"10.1093\/logcom\/exu058","volume":"26","author":"M Swiechowski","year":"2016","unstructured":"Swiechowski, M., Mandziuk, J.: Fast interpreter for logical reasoning in general game playing. J. Log. Comput. 26(5), 1697\u20131727 (2016). doi: 10.1093\/logcom\/exu058","journal-title":"J. Log. Comput."},{"key":"36_CR24","doi-asserted-by":"publisher","unstructured":"Mandziuk, J., Rajkiewicz, P.: Neuro-evolutionary system for FOREX trading. In: IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, BC, Canada, 24\u201329 July 2016, pp. 4654\u20134661 (2016). doi: 10.1109\/CEC.2016.7744384","DOI":"10.1109\/CEC.2016.7744384"},{"key":"36_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1007\/978-3-319-19324-3_64","volume-title":"Artificial Intelligence and Soft Computing","author":"R Grycuk","year":"2015","unstructured":"Grycuk, R., Gabryel, M., Scherer, R., Voloshynovskiy, S.: Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, Lotfi A., Zurada, Jacek M. (eds.) ICAISC 2015. LNCS, vol. 9119, pp. 715\u2013726. Springer, Cham (2015). doi: 10.1007\/978-3-319-19324-3_64"},{"key":"36_CR26","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.ins.2015.08.030","volume":"327","author":"M Korytkowski","year":"2016","unstructured":"Korytkowski, M., Rutkowski, L., Scherer, R.: Fast image classification by boosting fuzzy classifiers. Inf. Sci. 327, 175\u2013182 (2016). doi: 10.1016\/j.ins.2015.08.030","journal-title":"Inf. Sci."},{"key":"36_CR27","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-20859-1","volume-title":"Computational Optimization, Methods and Algorithms","author":"S Koziel","year":"2011","unstructured":"Koziel, S., Yang, X.: Computational Optimization, Methods and Algorithms. Springer, Berlin (2011)"},{"key":"36_CR28","doi-asserted-by":"crossref","DOI":"10.1002\/9780470640425","volume-title":"Engineering Optimisation: An Introduction with Metaheuristic Applications","author":"X Yang","year":"2010","unstructured":"Yang, X.: Engineering Optimisation: An Introduction with Metaheuristic Applications. Wiley, Hoboken (2010)"},{"issue":"4","key":"36_CR29","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1007\/s00521-015-1920-1","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S.: Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput. Appl. 27(4), 1053\u20131073 (2016). doi: 10.1007\/s00521-015-1920-1","journal-title":"Neural Comput. Appl."},{"issue":"2","key":"36_CR30","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s10458-015-9318-0","volume":"31","author":"MK Colby","year":"2017","unstructured":"Colby, M.K., Tumer, K.: Fitness function shaping in multiagent cooperative coevolutionary algorithms. Auton. Agents Multi-Agent Syst. 31(2), 179\u2013206 (2017). doi: 10.1007\/s10458-015-9318-0","journal-title":"Auton. Agents Multi-Agent Syst."},{"key":"36_CR31","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.compbiomed.2016.12.009","volume":"81","author":"R Cheruku","year":"2017","unstructured":"Cheruku, R., Edla, D.R., Kuppili, V.: Sm-ruleminer: Spider monkey based rule miner using novel fitness function for diabetes classification. Comput. Biol. Med. 81, 79\u201392 (2017). doi: 10.1016\/j.compbiomed.2016.12.009","journal-title":"Comput. Biol. Med."},{"issue":"3","key":"36_CR32","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1007\/s00453-015-9975-z","volume":"75","author":"A Lissovoi","year":"2016","unstructured":"Lissovoi, A., Witt, C.: MMAS versus population-based EA on a family of dynamic fitness functions. Algorithmica 75(3), 554\u2013576 (2016). doi: 10.1007\/s00453-015-9975-z","journal-title":"Algorithmica"},{"key":"36_CR33","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/978-3-319-46254-7_35","volume-title":"Information and Software Technologies","author":"M Wlodarczyk-Sielicka","year":"2016","unstructured":"Wlodarczyk-Sielicka, M.: Importance of neighborhood parameters during clustering of bathymetric data using neural network. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 441\u2013452. Springer, Cham (2016). doi: 10.1007\/978-3-319-46254-7_35"},{"issue":"3","key":"36_CR34","doi-asserted-by":"publisher","first-page":"707","DOI":"10.2298\/CSIS160114024N","volume":"13","author":"M Nos\u00e1l","year":"2016","unstructured":"Nos\u00e1l, M., Sul\u00edr, M., Juh\u00e1r, J.: Language composition using source code annotations. Comput. Sci. Inf. Syst. 13(3), 707\u2013729 (2016). doi: 10.2298\/CSIS160114024N","journal-title":"Comput. Sci. Inf. Syst."},{"key":"36_CR35","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1007\/978-3-319-46254-7_30","volume-title":"Information and Software Technologies","author":"P Artiemjew","year":"2016","unstructured":"Artiemjew, P., Nowak, Bartosz A., Polkowski, Lech T.: A new classifier based on the dual indiscernibility matrix. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 380\u2013391. Springer, Cham (2016). doi: 10.1007\/978-3-319-46254-7_30"},{"issue":"05","key":"36_CR36","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1017\/S0373463316000035","volume":"69","author":"M Wlodarczyk-Sielicka","year":"2016","unstructured":"Wlodarczyk-Sielicka, M., Stateczny, A.: Clustering bathymetric data for electronic navigational charts. J. Navig. 69(05), 1143\u20131153 (2016)","journal-title":"J. Navig."},{"key":"36_CR37","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1007\/978-3-319-46254-7_27","volume-title":"Information and Software Technologies","author":"Z Marsza\u0142ek","year":"2016","unstructured":"Marsza\u0142ek, Z.: Novel recursive fast sort algorithm. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 344\u2013355. Springer, Cham (2016). doi: 10.1007\/978-3-319-46254-7_27"},{"key":"36_CR38","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1016\/j.asoc.2016.06.032","volume":"48","author":"J Mandziuk","year":"2016","unstructured":"Mandziuk, J., Zychowski, A.: A memetic approach to vehicle routing problem with dynamic requests. Appl. Soft Comput. 48, 522\u2013534 (2016). doi: 10.1016\/j.asoc.2016.06.032","journal-title":"Appl. Soft Comput."}],"container-title":["Communications in Computer and Information Science","Information and Software Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67642-5_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T18:03:27Z","timestamp":1660413807000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-67642-5_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319676418","9783319676425"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67642-5_36","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}