1310 search results - page 127 / 262 » Learning the k in k-means |
223
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CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
Undoubtedly, a key feature in the popularity of smartmobile devices is the numerous applications one can install. Frequently, we learn about an application we desire by seeing it ...
193
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ESANN
2004
15 years 7 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
168
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
178
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IJON
1998
15 years 6 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
164
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TIP
2011
15 years 1 months ago
2011
Abstract—We have developed a new face hallucination framework termed from local pixel structure to global image super-resolution (LPS-GIS). Based on the assumption that two simil...