518 search results - page 79 / 104 » Object correspondence as a machine learning problem |
126
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ICCV
2009
IEEE
16 years 6 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 ...
85
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
85
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ICML
1999
IEEE
16 years 2 months ago
1999
IEEE
The problemofmultipleglobalcomparisonin familiesof biologicalsequences has been wellstudied. Fewer algorithms have been developed for identifying local consensus patterns or motif...
124
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ACML
2009
Springer
15 years 8 months ago
2009
Springer
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
131
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...