403 search results - page 74 / 81 » Metric and Kernel Learning Using a Linear Transformation |
113
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SAC
2005
ACM
15 years 7 months ago
2005
ACM
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
119
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ECCV
2002
Springer
16 years 3 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
187
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NIPS
2008
15 years 3 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
121
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Recent work in object localization has shown that the use of contextual cues can greatly improve accuracy over models that use appearance features alone. Although many of these mo...
125
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ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
This paper revisits the classical problem of detecting interest points, popularly known as "corners," in 2D images by proposing a technique based on fitting algebraic sh...