2185 search results - page 249 / 437 » Active Learning with Statistical Models |
204
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TIP
2002
15 years 6 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
200
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
182
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AMFG
2005
IEEE
16 years 3 days ago
2005
IEEE
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
172
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NN
2007
Springer
15 years 6 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
340
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FUIN
2011
14 years 10 months ago
2011
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...