231 search results - page 8 / 47 » Spectral domain-transfer learning |
COLT
2005
Springer
15 years 3 months ago
2005
Springer
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
122
click to vote
ICMCS
2009
IEEE
14 years 7 months ago
2009
IEEE
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
103
Voted
TIT
2008
14 years 9 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
121
Voted
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
This paper addresses the problem of learning similaritypreserving binary codes for efficient retrieval in large-scale image collections. We propose a simple and efficient altern...
129
Voted
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...