1854 search results - page 82 / 371 » On Kernel Methods for Relational Learning |
110
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ICANN
1997
Springer
15 years 7 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
PRL
2006
15 years 3 months ago
2006
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
123
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CIKM
2007
Springer
15 years 9 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
144
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
154
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CIMAGING
2009
15 years 4 months ago
2009
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...