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» Learning large margin classifiers locally and globally
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CIKM
2003
Springer
14 years 27 days ago
Categorizing web queries according to geographical locality
Web pages (and resources, in general) can be characterized according to their geographical locality. For example, a web page with general information about wildflowers could be c...
Luis Gravano, Vasileios Hatzivassiloglou, Richard ...
ICIP
2005
IEEE
14 years 1 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
ECCV
2008
Springer
14 years 9 months ago
Face Alignment Via Component-Based Discriminative Search
In this paper, we propose a component-based discriminative approach for face alignment without requiring initialization1 . Unlike many approaches which locally optimize in a small ...
Lin Liang, Rong Xiao, Fang Wen, Jian Sun
CVPR
2009
IEEE
15 years 2 months ago
Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search
Face verification has many potential applications including filtering and ranking image/video search results on celebrities. Since these images/videos are taken under uncontrolle...
Xiaogang Wang (MIT), Cha Zhang (Microsoft Research...
JMLR
2012
11 years 10 months ago
A metric learning perspective of SVM: on the relation of LMNN and SVM
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...