339 search results - page 25 / 68 » On the Need for a Neural Abstract Machine |
ICANN
2009
Springer
14 years 16 days ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
MLDM
2001
Springer
14 years 11 days ago
2001
Springer
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
ICIP
2003
IEEE
14 years 1 months ago
2003
IEEE
This paper describes a two-stage system for the recognition of postage meter values. A feed-forward Neural Abstraction Pyramid is initialized in an unsupervised manner and trained...
ESANN
2003
13 years 9 months ago
2003
This paper describes a two-stage system for the recognition ge meter values. A feed-forward Neural Abstraction Pyramid is initialized in an unsupervised manner and trained in a sup...