{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:36:46Z","timestamp":1730266606113,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1109\/ijcnn.2016.7727425","type":"proceedings-article","created":{"date-parts":[[2016,11,8]],"date-time":"2016-11-08T21:15:56Z","timestamp":1478639756000},"page":"1857-1862","source":"Crossref","is-referenced-by-count":1,"title":["Mahalanobis distance metric learning algorithm for instance-based data stream classification"],"prefix":"10.1109","author":[{"given":"Jorge Luis","family":"Rivero Perez","sequence":"first","affiliation":[]},{"given":"Bernardete","family":"Ribeiro","sequence":"additional","affiliation":[]},{"given":"Carlos Morell","family":"Perez","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015376"},{"key":"ref11","first-page":"761","article-title":"Online metric learning and fast similarity search","volume":"8","author":"jain","year":"2008","journal-title":"NIPS"},{"article-title":"Mirror descent for metric learning","year":"0","author":"kunapuli","key":"ref12"},{"key":"ref13","first-page":"862","article-title":"Regularized distance metric learning: Theory and algorithm","volume":"22","author":"jin","year":"2009","journal-title":"NIPS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s12530-012-9059-0"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1007\/978-3-540-28645-5_29","article-title":"Learning with drift detection","author":"gama","year":"2004","journal-title":"Advances in Artificial Intelligence-SBIA 2004"},{"key":"ref16","first-page":"1601","article-title":"Moa: Massive online analysis","volume":"99","author":"bifet","year":"2010","journal-title":"The Journal of Machine Learning Research"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-012-5320-9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557060"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-00969-8_28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1561\/2200000019"},{"key":"ref3","article-title":"A survey on metric learning for feature vectors and structured data","author":"bellet","year":"2013","journal-title":"arXiv preprint arXiv 1306 6709"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1027527.1027531"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1027527.1027532"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247939"},{"key":"ref7","first-page":"1473","article-title":"Distance metric learning for large margin nearest neighbor classification","volume":"18","author":"weinberger","year":"2006","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.136"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s13748-011-0002-6"},{"key":"ref9","article-title":"Aprendizaje supervisado de funciones de distancia: estado del arte","volume":"9","author":"nguyen cong","year":"2015","journal-title":"Revista Cubana de Ciencias Informdticas"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1007\/978-3-642-40988-2_30","article-title":"Pitfalls in benchmarking data stream classification and how to avoid them","author":"bifet","year":"2013","journal-title":"Machine Learning and Knowledge Discovery in Databases"},{"key":"ref21","first-page":"52","article-title":"Tecnicas de aprendizaje autom&#x00E1;tico para la de-tecci6n de intrusos en redes de computadoras","volume":"8","author":"rivero perez","year":"2014","journal-title":"Revista Cubana de Ciencias Informdticas"}],"event":{"name":"2016 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2016,7,24]]},"location":"Vancouver, BC","end":{"date-parts":[[2016,7,29]]}},"container-title":["2016 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7593175\/7726591\/07727425.pdf?arnumber=7727425","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,19]],"date-time":"2020-05-19T21:02:53Z","timestamp":1589922173000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7727425\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2016.7727425","relation":{},"subject":[],"published":{"date-parts":[[2016,7]]}}}