338 search results - page 24 / 68 » Algorithms for Learning Kernels Based on Centered Alignment |
71
Voted
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
In this paper, we propose a component-based discriminative approach for face alignment without requiring initialization1 . Unlike many approaches which locally optimize in a small ...
83
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
89
Voted
EEE
2005
IEEE
15 years 3 months ago
2005
IEEE
The rapid growth of XML adoption has urged for the need of a proper representation for semi-structured documents, where the document structural information has to be taken into ac...
CVPR
2010
IEEE
14 years 9 months ago
2010
IEEE
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
TNN
2010
14 years 4 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...