{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:06:46Z","timestamp":1743066406840,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319977843"},{"type":"electronic","value":"9783319977850"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-97785-0_17","type":"book-chapter","created":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T14:49:17Z","timestamp":1533134957000},"page":"173-183","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Sparsification of Indefinite Learning Models"],"prefix":"10.1007","author":[{"given":"Frank-Michael","family":"Schleif","sequence":"first","affiliation":[]},{"given":"Christoph","family":"Raab","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Tino","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,2]]},"reference":[{"issue":"2","key":"17_CR1","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/s10994-015-5542-8","volume":"103","author":"IM Alabdulmohsin","year":"2016","unstructured":"Alabdulmohsin, I.M., Ciss\u00e9, M., Gao, X., Zhang, X.: Large margin classification with indefinite similarities. Mach. Learn. 103(2), 215\u2013237 (2016)","journal-title":"Mach. Learn."},{"key":"17_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1007\/978-3-642-14980-1_31","volume-title":"Structural, Syntactic, and Statistical Pattern Recognition","author":"RPW Duin","year":"2010","unstructured":"Duin, R.P.W., Pekalska, E.: Non-euclidean dissimilarities: causes and informativeness. In: Hancock, E.R., Wilson, R.C., Windeatt, T., Ulusoy, I., Escolano, F. (eds.) SSPR \/SPR. LNCS, vol. 6218, pp. 324\u2013333. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-14980-1_31"},{"issue":"1","key":"17_CR3","first-page":"2183","volume":"33","author":"ZZ Geoffrey","year":"1994","unstructured":"Geoffrey, Z.Z., Davis, M., Mallat, S.G.: Adaptive time-frequency decompositions. SPIE J. Opt. Eng. 33(1), 2183\u20132191 (1994)","journal-title":"SPIE J. Opt. Eng."},{"key":"17_CR4","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1016\/j.neucom.2015.04.017","volume":"167","author":"A Gisbrecht","year":"2015","unstructured":"Gisbrecht, A., Schleif, F.-M.: Metric and non-metric proximity transformations at linear costs. Neurocomputing 167, 643\u2013657 (2015)","journal-title":"Neurocomputing"},{"key":"17_CR5","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511574931","volume-title":"Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology","author":"D Gusfield","year":"1997","unstructured":"Gusfield, D.: Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology. Cambridge University Press, Cambridge (1997)"},{"key":"17_CR6","unstructured":"Hassibi, B.: Indefinite metric spaces in estimation, control and adaptive filtering. Ph.D. thesis, Stanford University, Department of Electrical Engineering, Stanford (1996)"},{"issue":"2","key":"17_CR7","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.actpsy.2011.12.003","volume":"139","author":"CJ Hodgetts","year":"2012","unstructured":"Hodgetts, C.J., Hahn, U.: Similarity-based asymmetries in perceptual matching. Acta Psychol. 139(2), 291\u2013299 (2012)","journal-title":"Acta Psychol."},{"issue":"2","key":"17_CR8","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1109\/TPAMI.2007.41","volume":"29","author":"H Ling","year":"2007","unstructured":"Ling, H., Jacobs, D.W.: Shape classification using the inner-distance. IEEE Trans. Pattern Anal. Mach. Intell. 29(2), 286\u2013299 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"17_CR9","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1109\/TPAMI.2015.2477830","volume":"38","author":"G Loosli","year":"2016","unstructured":"Loosli, G., Canu, S., Ong, C.S.: Learning SVM in Krein spaces. IEEE Trans. Pattern Anal. Mach. Intell. 38(6), 1204\u20131216 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2\u20133","key":"17_CR10","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/s12532-009-0005-5","volume":"1","author":"R Luss","year":"2009","unstructured":"Luss, R., d\u2019Aspremont, A.: Support vector machine classification with indefinite kernels. Math. Program. Comput. 1(2\u20133), 97\u2013118 (2009)","journal-title":"Math. Program. Comput."},{"key":"17_CR11","doi-asserted-by":"publisher","first-page":"1429","DOI":"10.1016\/j.neucom.2010.10.016","volume":"74","author":"E Mwebaze","year":"2010","unstructured":"Mwebaze, E., Schneider, P., Schleif, F.-M., et al.: Divergence based classification in learning vector quantization. Neurocomputing 74, 1429\u20131435 (2010)","journal-title":"Neurocomputing"},{"issue":"23","key":"17_CR12","doi-asserted-by":"publisher","first-page":"3311","DOI":"10.1016\/S0042-6989(97)00169-7","volume":"37","author":"BA Olshausen","year":"1997","unstructured":"Olshausen, B.A., Field, D.J.: Sparse coding with an overcomplete basis set: a strategy employed by V1? Vis. Res. 37(23), 3311\u20133325 (1997)","journal-title":"Vis. Res."},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Ong, C.S., Mary, X., Canu, S., Smola, A.J.: Learning with non-positive kernels. In: (ICML 2004) (2004)","DOI":"10.1145\/1015330.1015443"},{"key":"17_CR14","unstructured":"Pati, Y.C., Rezaiifar, R., Krishnaprasad, P.S.: Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition. In Proceedings of the 27th Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 40\u201344, November 1993"},{"key":"17_CR15","doi-asserted-by":"publisher","DOI":"10.1142\/5965","volume-title":"The Dissimilarity Representation for Pattern Recognition","author":"E Pekalska","year":"2005","unstructured":"Pekalska, E., Duin, R.: The Dissimilarity Representation for Pattern Recognition. World Scientific, Singapore (2005)"},{"issue":"6","key":"17_CR16","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1109\/TPAMI.2008.290","volume":"31","author":"E Pekalska","year":"2009","unstructured":"Pekalska, E., Haasdonk, B.: Kernel discriminant analysis for positive definite and indefinite kernels. IEEE Trans. Pattern Anal. Mach. Intell. 31(6), 1017\u20131031 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"17_CR17","doi-asserted-by":"publisher","first-page":"2721","DOI":"10.1016\/j.patcog.2014.02.018","volume":"47","author":"WJ Scheirer","year":"2014","unstructured":"Scheirer, W.J., Wilber, M.J., Eckmann, M., Boult, T.E.: Good recognition is non-metric. Pattern Recogn. 47(8), 2721\u20132731 (2014)","journal-title":"Pattern Recogn."},{"issue":"10","key":"17_CR18","doi-asserted-by":"publisher","first-page":"2039","DOI":"10.1162\/NECO_a_00770","volume":"27","author":"F-M Schleif","year":"2015","unstructured":"Schleif, F.-M., Ti\u00f1o, P.: Indefinite proximity learning: a review. Neural Comput. 27(10), 2039\u20132096 (2015)","journal-title":"Neural Comput."},{"key":"17_CR19","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.patcog.2017.06.003","volume":"71","author":"F-M Schleif","year":"2017","unstructured":"Schleif, F.-M., Ti\u00f1o, P.: Indefinite core vector machine. Pattern Recogn. 71, 187\u2013195 (2017)","journal-title":"Pattern Recogn."},{"issue":"1","key":"17_CR20","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s11042-010-0679-8","volume":"58","author":"D Schnitzer","year":"2012","unstructured":"Schnitzer, D., Flexer, A., Widmer, G.: A fast audio similarity retrieval method for millions of music tracks. Multimed. Tools Appl. 58(1), 23\u201340 (2012)","journal-title":"Multimed. Tools Appl."},{"issue":"7","key":"17_CR21","doi-asserted-by":"publisher","first-page":"2686","DOI":"10.1016\/j.amc.2009.09.008","volume":"215","author":"A Srisuphab","year":"2009","unstructured":"Srisuphab, A., Mitrpanont, J.L.: Gaussian kernel approx algorithm for feedforward neural network design. Appl. Math. Comp. 215(7), 2686\u20132693 (2009)","journal-title":"Appl. Math. Comp."},{"issue":"5","key":"17_CR22","first-page":"1126","volume":"17","author":"IH Tsang","year":"2006","unstructured":"Tsang, I.H., Kwok, J.Y., Zurada, J.M.: Generalized core vector machines. IEEE TNN 17(5), 1126\u20131140 (2006)","journal-title":"IEEE TNN"},{"key":"17_CR23","unstructured":"UCI: Skin segmentation database, March 2016"},{"key":"17_CR24","series-title":"Statistics for Engineering and Information Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1","volume-title":"The Nature of Statistical Learning Theory","author":"VN Vapnik","year":"2000","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Statistics for Engineering and Information Science. Springer, New York (2000)"}],"container-title":["Lecture Notes in Computer Science","Structural, Syntactic, and Statistical Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97785-0_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:40:48Z","timestamp":1710348048000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-97785-0_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319977843","9783319977850"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97785-0_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"2 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"S+SSPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sspr2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ssspr2018.buaa.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}