1364 search results - page 156 / 273 » Sampling Methods for Unsupervised Learning |
117
Voted
PICS
2003
15 years 4 months ago
2003
In studying image quality and image preference it is necessary to collect psychophysical data. A variety of methods are used to arrive at interval scale values which indicate the ...
142
Voted
WWW
2009
ACM
16 years 3 months ago
2009
ACM
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
137
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PAMI
2008
15 years 2 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
174
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CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
131
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...