{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:01:39Z","timestamp":1743138099547,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319231167"},{"type":"electronic","value":"9783319231174"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-23117-4_21","type":"book-chapter","created":{"date-parts":[[2015,8,25]],"date-time":"2015-08-25T14:07:58Z","timestamp":1440511678000},"page":"242-253","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A New One Class Classifier Based on Ensemble of Binary Classifiers"],"prefix":"10.1007","author":[{"given":"Hamed Habibi","family":"Aghdam","sequence":"first","affiliation":[]},{"given":"Elnaz Jahani","family":"Heravi","sequence":"additional","affiliation":[]},{"given":"Domenec","family":"Puig","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,8,26]]},"reference":[{"key":"21_CR1","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.sigpro.2013.12.026","volume":"99","author":"MAF Pimentel","year":"2014","unstructured":"Pimentel, M.A.F., Clifton, D.A., Clifton, L., Tarassenko, L.: A review of novelty detection. Signal Processing 99, 215\u2013249 (2014). Elsevier","journal-title":"Signal Processing"},{"key":"21_CR2","doi-asserted-by":"publisher","first-page":"1859","DOI":"10.1016\/j.neucom.2008.05.003","volume":"72","author":"P Juszczak","year":"2009","unstructured":"Juszczak, P., Tax, D.M.J., Pekalska, E., Duin, R.P.W.: Minimum spanning tree based one-class classifier. Neurocomputing 72, 1859\u20131869 (2009). Elsevier","journal-title":"Neurocomputing"},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"2499","DOI":"10.1016\/j.sigpro.2003.07.019","volume":"83","author":"M Markou","year":"2003","unstructured":"Markou, M., Singh, S.: Novelty detection: a reviewpart 2: neural network based approaches. Signal Processing 83, 2499\u20132521 (2003). Elsevier","journal-title":"Signal Processing"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Bodesheim, P., Freytag, A., Rodner, E., Kemmler, M., Denzler, J.: Kernel null space methods for novelty detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3374\u20133381. IEEE Press (2013)","DOI":"10.1109\/CVPR.2013.433"},{"key":"21_CR5","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1023\/B:MACH.0000008084.60811.49","volume":"54","author":"DMJ Tax","year":"2004","unstructured":"Tax, D.M.J., Duin, R.P.W.: Support Vector Data Description. Machine Learning 54, 45\u201366 (2004). Kluwer Academic Publishers","journal-title":"Machine Learning"},{"key":"21_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/978-3-642-19309-5_38","volume-title":"Computer Vision \u2013 ACCV 2010","author":"M Kemmler","year":"2011","unstructured":"Kemmler, M., Rodner, E., Denzler, J.: One-class classification with gaussian processes. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part II. LNCS, vol. 6493, pp. 489\u2013500. Springer, Heidelberg (2011). ISBN:978-3-642-19308-8"},{"key":"21_CR7","doi-asserted-by":"publisher","first-page":"3490","DOI":"10.1016\/j.patcog.2013.05.022","volume":"42","author":"C D\u00e9sir","year":"2013","unstructured":"D\u00e9sir, C., Bernard, S., Petitjean, C., Heutte, L.: One class random forests. Pattern Recognition 42, 3490\u20133506 (2013). Eslevier","journal-title":"Pattern Recognition"},{"key":"21_CR8","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.ins.2013.10.038","volume":"260","author":"J Derrac","year":"2014","unstructured":"Derrac, J., Garc\u00eda, S., Herrera, F.: Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects. Information Sciences 260, 98\u2013119 (2014). Eslevier","journal-title":"Information Sciences"},{"key":"21_CR9","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.neucom.2013.12.002","volume":"135","author":"X Ding","year":"2014","unstructured":"Ding, X., Li, Y., Belatreche, A., Maguire, L.P.: An experimental evaluation of novelty detection methods. Neurocomputing 135, 313\u2013327 (2014). Eslevier","journal-title":"Neurocomputing"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Farhadi, A., Endres, I., Hoiem, D., Forsyth, D.: Describing objects by their attributes. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1778\u20131785. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"21_CR11","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1016\/j.neunet.2012.02.016","volume":"32","author":"J Stallkamp","year":"2012","unstructured":"Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition. Neural Networks 32, 323\u2013332 (2012). Eslevier","journal-title":"Neural Networks"},{"key":"21_CR12","unstructured":"Aghdam, H.H., Heravi, E.J., Puig, D.: A unified framework for coarse-to-fine recognition of traffic signs using bayesian network and visual attributes. In: 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), Berlin (2015)"},{"key":"21_CR13","unstructured":"Tax, D.M.J.: DDtools, the Data Description Toolbox for Matlab, April 2007. http:\/\/prlab.tudelft.nl\/david-tax\/dd_tools.html"}],"container-title":["Lecture Notes in Computer Science","Computer Analysis of Images and Patterns"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-23117-4_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,20]],"date-time":"2023-01-20T23:56:04Z","timestamp":1674258964000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-23117-4_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319231167","9783319231174"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-23117-4_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"26 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}