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» On the Dimensionality of Face Space
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AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
16 years 2 days ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...
ECCV
2010
Springer
15 years 11 months ago
Face Liveness Detection from A Single Image with Sparse Low Rank Bilinear Discriminative Model
Spoofing with photograph or video is one of the most common manner to circumvent a face recognition system. In this paper, we present a real-time and non-intrusive method to addre...
ICIP
2009
IEEE
16 years 7 months ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
CW
2002
IEEE
15 years 11 months ago
Efficient Data Compression Methods for Multi-Dimensional Sparse Array Operations
For sparse array operations, in general, the sparse arrays are compressed by some data compression schemes in order to obtain better performance. The Compressed Row/Column Storage...
Chun-Yuan Lin, Yeh-Ching Chung, Jen-Shiuh Liu
TSP
2008
117views more  TSP 2008»
15 years 6 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman