9 search results - page 2 / 2 » The Concave-Convex Procedure (CCCP) |
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...