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SIBGRAPI
2005
IEEE
14 years 1 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies
MM
2005
ACM
175views Multimedia» more  MM 2005»
14 years 1 months ago
Towards context-aware face recognition
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
Marc Davis, Michael Smith, John F. Canny, Nathan G...
TIP
2010
138views more  TIP 2010»
13 years 2 months ago
Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition
Gabor features have been known to be effective for face recognition. However, only a few approaches utilize phase feature and they usually perform worse than those using magnitude ...
Shufu Xie, Shiguang Shan, Xilin Chen, Jie Chen
PCM
2007
Springer
169views Multimedia» more  PCM 2007»
14 years 1 months ago
Random Subspace Two-Dimensional PCA for Face Recognition
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Face Recognition using Energy Probability in DCT Domain
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete Cosine Transform (DCT), Energy Probability (EP), and Linear Disc...
Jean Choi, Yun-Su Chung, Ki-Hyun Kim, Jang-Hee Yoo