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dc.contributor.authorZhang, Baochang
dc.contributor.authorLiu, Juan
dc.contributor.authorGao, Yongsheng
dc.contributor.authorLiu, Jianzhuang
dc.contributor.editorSun C.Y., Fang F., Zhou Z.-H., Yang W.K. and Liu Z.-Y.
dc.date.accessioned2017-10-31T12:30:51Z
dc.date.available2017-10-31T12:30:51Z
dc.date.issued2013
dc.date.modified2014-05-28T22:28:45Z
dc.identifier.isbn9783642420566
dc.identifier.doi10.1007/978-3-642-42057-3_106
dc.identifier.urihttp://hdl.handle.net/10072/59558
dc.description.abstractThis paper proposes a novel Compressed Sensing Ensemble Classifier (CSEC) for human detection. The proposed CSEC employs the compressed sensing technique to get a more sparse model with a more reasonable selection of base classifiers. The major contributions of this paper are: 1) a novel principled framework for ensemble classifier design based on compressed sensing; 2) a new concept of considering both the simplicity of ensemble classifier and irrelevance of base classifiers towards optimal classifier design; and 3) a quadratic function for CSEC optimization which includes a new optimizable positive semi-definite relevance matrix to simultaneously select appropriate base classifiers with minimized relevance. Experimental results on INRIA and SDL databases show that the performance of CSEC is better than two most popular classifiers SVM and AdaBoost, as well as a most recent method CLML.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeUnited States
dc.publisher.urihttp://dx.doi.org/10.1007/978-3-642-42057-3
dc.relation.ispartofbooktitleIntelligence Science and Big Data Engineering: Lecture Notes in Computer Science
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom844
dc.relation.ispartofpageto851
dc.relation.ispartofvolume8261
dc.rights.retentionY
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classified
dc.subject.fieldofresearchcode080199
dc.titleCompressed Sensing Ensemble Classifier for Human Detection
dc.typeBook chapter
dc.type.descriptionB1 - Chapters
dc.type.codeB - Book Chapters
gro.hasfulltextNo Full Text
gro.griffith.authorGao, Yongsheng


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