45 search results - page 4 / 9 » The Beta-Jacobi Matrix Model, the CS Decomposition, and Gene... |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
CVPR
2004
IEEE
2004
IEEE
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
14 years 9 months ago
Face recognition under unconstrained illuminations (FR/I) received extensive study because of the existence of illumination subspace. [2] presented a study on the comparison betwe...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
TCS
2011
13 years 2 months ago
2011
Abstract. We present the first fully dynamic algorithm for computing the characteristic polynomial of a matrix. In the generic symmetric case our algorithm supports rank-one updat...