566 search results - page 59 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
161
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
122
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
135
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TKDE
2008
15 years 3 months ago
2008
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
105
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HICSS
2009
IEEE
15 years 10 months ago
2009
IEEE
One knowledge discovery problem in the rapid response setting is the cost of learning which patterns are indicative of a threat. This typically involves a detailed follow-through,...
147
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CVPR
2003
IEEE
16 years 5 months ago
2003
IEEE
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...