654 search results - page 61 / 131 » Image Categorization Using Local Probabilistic Descriptors |
118
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CIVR
2008
Springer
15 years 4 months ago
2008
Springer
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
147
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CVPR
2011
IEEE
14 years 10 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...
158
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SISAP
2010
IEEE
15 years 1 days ago
2010
IEEE
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...
175
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VLSISP
2010
15 years 16 days 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...
103
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DAGM
2004
Springer
15 years 7 months ago
2004
Springer
We present a probabilistic framework for matching of point clouds. Variants of the ICP algorithm typically pair points to points or points to lines. Instead, we pair data points to...