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IJON
2010
150views more  IJON 2010»
13 years 5 months ago
Linear discriminant analysis using rotational invariant L1 norm
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....
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
ICIP
2007
IEEE
14 years 9 months ago
Analysis and Integrated Architecture Design for Overlap Smooth and in-Loop Deblocking Filter in VC-1
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...
Yen-Lin Lee, Truong Nguyen
PAMI
2008
200views more  PAMI 2008»
13 years 7 months ago
Principal Component Analysis Based on L1-Norm Maximization
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...
Nojun Kwak
SINOBIOMETRICS
2004
Springer
14 years 20 days ago
Baseline Evaluations on the CAS-PEAL-R1 Face Database
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...
Bo Cao, Shiguang Shan, Xiaohua Zhang, Wen Gao
TCSV
2008
225views more  TCSV 2008»
13 years 7 months ago
Analysis and Efficient Architecture Design for VC-1 Overlap Smoothing and In-Loop Deblocking Filter
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...
Yen-Lin Lee, T. Q. Nguyen