2295 search results - page 103 / 459 » Learning Overcomplete Representations |
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
ACL
2009
13 years 7 months ago
2009
We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus mean...
ICRA
2005
IEEE
14 years 3 months ago
2005
IEEE
— We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A neares...
ICANN
2005
Springer
14 years 3 months ago
2005
Springer
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
PRICAI
2000
Springer
14 years 1 months ago
2000
Springer
While the decision tree is an effective representation that has been used in many domains, a tree can often encode a concept inefficiently. This happens when the tree has to repres...