576 search results - page 42 / 116 » Structured metric learning for high dimensional problems |
ICML
2003
IEEE
16 years 21 days ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
101
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CVPR
2007
IEEE
15 years 6 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
110
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IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
101
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DAGM
2010
Springer
15 years 1 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
ICRA
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— We present and examine a technique for estimating the ego-motion of a mobile robot using memory-based learning and a monocular camera. Unlike other approaches that rely...