27 search results - page 4 / 6 » Solving maximum-entropy sampling problems using factored mas... |
114
Voted
KAIS
2008
14 years 11 months ago
2008
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
127
Voted
ISMIR
2005
Springer
15 years 5 months ago
2005
Springer
Source separation techniques like independent component analysis and the more recent non-negative matrix factorization are gaining widespread use for the monaural separation of in...
151
click to vote
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
109
Voted
TALG
2010
14 years 6 months ago
2010
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
105
click to vote
IPMI
2005
Springer
16 years 14 days ago
2005
Springer
Spherical navigators are an attractive approach to motion compensation in Magnetic Resonance Imaging. Because they can be acquired quickly, spherical navigators have the potential ...