Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
Unlike familiar macroblock-based in-loop deblocking filter in H.264, the filters of VC-1 perform all horizontal edges (for in-loop deblocking filtering) or vertical edges (for ove...
In data-analysis problems with a large number of dimension, principal component analysis based on L2-norm (L2PCA) is one of the most popular methods, but L2-PCA is sensitive to out...
In this paper, three baseline face recognition algorithms are evaluated on the CAS-PEAL-R1 face database which is publicly released from a large-scale Chinese face database: CAS-PE...
Abstract--In contrast to the macroblock-based in-loop deblocking filters, the filters of VC-1 perform all horizontal edges (for in-loop filtering) or vertical edges (for overlap sm...