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dc.contributor.authorZhang, Baochang
dc.contributor.authorGao, Yongsheng
dc.contributor.authorZheng, Hong
dc.date.accessioned2017-05-03T14:51:51Z
dc.date.available2017-05-03T14:51:51Z
dc.date.issued2011
dc.date.modified2011-08-09T06:27:38Z
dc.identifier.issn0925-2312
dc.identifier.doi10.1016/j.neucom.2010.09.008
dc.identifier.urihttp://hdl.handle.net/10072/39788
dc.description.abstractThis paper proposes a new Local Kernel Feature Analysis (LKFA) method for object recognition. LKFA captures the nonlinear local relationship in an image via kernel functions. Different from traditional kernel methods for object recognition, the proposed method does not need to reserve the training samples. LKFA is designed to extract the eigenvalue features from the Hermite matrix of a local feature representation, which we have theoretically proven its robustness to noise and perturbations. Experiment results on palmprint and face recognitions demonstrated the effectiveness of the proposed LKFA that significantly improved the performance of the local feature based object recognition method.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom575
dc.relation.ispartofpageto579
dc.relation.ispartofissue4
dc.relation.ispartofjournalNeurocomputing
dc.relation.ispartofvolume74
dc.rights.retentionY
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchArtificial intelligence not elsewhere classified
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchPsychology
dc.subject.fieldofresearchcode46
dc.subject.fieldofresearchcode460299
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode52
dc.titleLocal Kernel Feature Analysis (LKFA) for object recognition
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2011
gro.hasfulltextNo Full Text
gro.griffith.authorGao, Yongsheng


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