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119
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NIPS
1997
15 years 2 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
113
Voted
BIRTHDAY
2010
Springer
15 years 1 months ago
Choiceless Computation and Symmetry
Many natural problems in computer science concern structures like graphs where elements are not inherently ordered. In contrast, Turing machines and other common models of computa...
Benjamin Rossman
91
Voted
ICPP
2000
IEEE
15 years 5 months ago
Evaluation of Loop Grouping Methods Based on Orthogonal Projection Spaces
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
Ioannis Drositis, Georgios I. Goumas, Nectarios Ko...
83
Voted
ICPR
2002
IEEE
16 years 1 months ago
PCA in Autocorrelation Space
The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the au...
Vlad Popovici, Jean-Philippe Thiran
98
Voted
DCC
2006
IEEE
15 years 6 months ago
Quantization on the Complex Projective Space
This paper derives bounds on the distortion rate function for quantization on the complex projective space denoted as CPn−1 . In essence the problem of quantization in an Euclid...
Bishwarup Mondal, Satyaki Dutta, Robert W. Heath J...