50 search results - page 5 / 10 » Learning structural SVMs with latent variables |
AAAI
2006
13 years 9 months ago
2006
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
CSB
2003
IEEE
14 years 28 days ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
FTCGV
2011
12 years 11 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
JMLR
2010
13 years 2 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...