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CVPR
2008
IEEE
16 years 2 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
123
Voted
ICIAR
2004
Springer
15 years 5 months ago
Visual Object Recognition Through One-Class Learning
Abstract. In this paper, several one-class classification methods are investigated in pixel space and PCA (Principal component Analysis) subspace having in mind the need of finding...
QingHua Wang, Luís Seabra Lopes, David M. J...
CVPR
2005
IEEE
16 years 2 months ago
A Nonlinear Approach for Face Sketch Synthesis and Recognition
Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two e...
Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing ...
138
Voted
ACCV
2007
Springer
15 years 6 months ago
The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition
This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...
Kazuhiro Fukui, Osamu Yamaguchi
107
Voted
PR
2002
122views more  PR 2002»
15 years 2 days ago
High-order Fisher's discriminant analysis
This paper introduces a novel nonlinear extension of Fisher's classical linear discriminant analysis (FDA) known as high-order Fisher's discriminant analysis (HOFDA). Th...
Alejandro Sierra