576 search results - page 42 / 116 » Structured metric learning for high dimensional problems |
ICML
2003
IEEE
14 years 11 months 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...
CVPR
2007
IEEE
14 years 4 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...
IJCNN
2000
IEEE
14 years 2 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...
DAGM
2010
Springer
13 years 11 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
14 years 4 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...