357 search results - page 41 / 72 » Learning an Information Theoretic Transform for Object Detec... |
ITICSE
2005
ACM
14 years 1 months ago
2005
ACM
Traditional teaching methods have acknowledged limitations. Lectures may be used to transmit information efficiently, but often fail to motivate students to engage with the subjec...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
FOCS
1990
IEEE
13 years 11 months ago
1990
IEEE
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
COGSCI
2002
13 years 7 months ago
2002
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
IJCAI
2007
13 years 9 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...