59 search results - page 8 / 12 » Locally Smooth Metric Learning with Application to Image Ret... |
106
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NIPS
2001
14 years 11 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
ICVGIP
2004
14 years 11 months ago
2004
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
73
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We present an approach for measuring similarity between visual entities (images or videos) based on matching internal self-similarities. What is correlated across images (or acros...
130
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VLSISP
2010
14 years 8 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...