2512 search results - page 226 / 503 » Learning from Highly Structured Data by Decomposition |
130
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ACCV
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
135
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CVPR
1997
IEEE
16 years 6 months ago
1997
IEEE
A multi-image focus of attention mechanism has been developed that can quickly distinguish raised objects like buildings from structured background clutter typical to many aerial ...
136
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CVPR
2010
IEEE
16 years 4 days ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
137
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
157
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ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...