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...
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 ...
—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...
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...
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...