2295 search results - page 55 / 459 » Learning Overcomplete Representations |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— The semantics of neural networks can be analyzed mathematically as a distributed system of knowledge and as systems of possible worlds expressed in the knowledge. Learning in a...
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
LEGE
2004
13 years 10 months ago
2004
A flexible approach for structuring and merging distributed learning object is presented. At the basis of this approach there is a formal representation of a learning object, call...
ATAL
2011
Springer
12 years 8 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...