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» Robust principal component analysis
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ICML
2006
IEEE
14 years 6 months ago
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan...
ICASSP
2011
IEEE
12 years 9 months ago
A robust feature extraction algorithm based on class-Modular Image Principal Component Analysis for face verification
Face verification systems reach good performance on ideal environmental conditions. Conversely, they are very sensitive to non-controlled environments. This work proposes the cla...
Jose Francisco Pereira, Rafael M. Barreto, George ...
ICC
2008
IEEE
118views Communications» more  ICC 2008»
14 years 2 days ago
A Principal Components Analysis-Based Robust DDoS Defense System
—One of the major threats to cyber security is the Distributed Denial-of-Service (DDoS) attack. In our previous projects, PacketScore, ALPi, and other statistical filtering-based...
Huizhong Sun, Yan Zhaung, H. Jonathan Chao
ICDAR
1999
IEEE
13 years 10 months ago
Skew Detection via Principal Components Analysis
Skew detection via principal components is proposed as an e ective methodforimageswhich contain other parts than text. It is shown that the negative of the image leads to much mor...
Tal Steinherz, Nathan Intrator, Ehud Rivlin
DCC
2008
IEEE
14 years 5 months ago
Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
James E. Fowler