290 search results - page 26 / 58 » Learning with Deep Cascades |
SIGMOD
2004
ACM
14 years 3 months ago
2004
ACM
An increasing number of data sources now become available on the Web, but often their contents are only accessible through query interfaces. For a domain of interest, there often ...
AAAI
2007
14 years 6 days ago
2007
To be effective, an agent that collaborates with humans needs to be able to learn new tasks from humans they work with. This paper describes a system that learns executable task m...
CVPR
2006
IEEE
14 years 12 months ago
2006
IEEE
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
JMLR
2010
13 years 4 months ago
2010
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
ICDAR
2007
IEEE
14 years 4 months ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...