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» Principal Component Analysis Based on L1-Norm Maximization
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ICCV
2007
IEEE
15 years 11 months ago
Spectral Regression for Efficient Regularized Subspace Learning
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
Deng Cai, Xiaofei He, Jiawei Han
91
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ICPR
2002
IEEE
15 years 10 months ago
Face Detection Using a Modified Radial Basis Function Neural Network
Face detection from cluttered images is very challenging due to the diverse variation of face appearance and the complexity of image background. In this paper, we propose a neural...
Lin-Lin Huang, Akinobu Shimizu, Hidefumi Kobatake
91
Voted
ICPR
2006
IEEE
15 years 3 months ago
Transformation Invariance in Hand Shape Recognition
In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations. Thi...
Thomas Coogan, Alistair Sutherland
IJCV
2007
117views more  IJCV 2007»
14 years 9 months ago
Implicit Meshes for Effective Silhouette Handling
Abstract. Using silhouettes in uncontrolled environments typically requires handling occlusions as well as changing or cluttered backgrounds, which limits the applicability of most...
Slobodan Ilic, Mathieu Salzmann, Pascal Fua
ICIP
2009
IEEE
14 years 7 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman