888 search results - page 5 / 178 » Improving Random Projections Using Marginal Information |
84
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
76
Voted
AUSAI
2009
Springer
15 years 4 months ago
2009
Springer
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
PSIVT
2007
Springer
15 years 3 months ago
2007
Springer
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
116
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EC
2010
14 years 6 months ago
2010
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
NIPS
2008
14 years 11 months ago
2008
The coding of information by neural populations depends critically on the statistical dependencies between neuronal responses. However, there is no simple model that can simultane...