588 search results - page 42 / 118 » Computing the Dimension of Linear Subspaces |
139
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
158
Voted
CVPR
2004
IEEE
16 years 5 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
122
Voted
ICDCS
2006
IEEE
15 years 9 months ago
2006
IEEE
This paper studies compact routing schemes for networks with low doubling dimension. Two variants are explored, name-independent routing and labeled routing. The key results obtai...
142
Voted
SMI
2005
IEEE
15 years 9 months ago
2005
IEEE
We propose an algorithm for contouring k-manifolds (k = 1, 2) embedded in an arbitrary n-dimensional space. We assume (n−k) geometric constraints are represented as polynomial e...
171
Voted
ESANN
2004
15 years 5 months ago
2004
We propose an algorithm for recovering the matrix A in X = AS where X is a random vector of lower dimension than S. S is assumed to be sparse in the sense that S has less nonzero e...