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ISCAS
2006
IEEE
14 years 1 months ago
2006
IEEE
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
ICPR
2006
IEEE
14 years 1 months ago
2006
IEEE
One successful approach to feature extraction in face recognition problems is that of linear discriminant analysis (LDA). We examine an extension of this technique, called angular...
IPPS
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper explores the correlation of instruction counts and cache misses to runtime performance for a large family of divide and conquer algorithms to compute the Walsh–Hadama...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...