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ICML
2010
IEEE
15 years 7 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
AIR
2006
107views more  AIR 2006»
15 years 6 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
IJCV
2007
196views more  IJCV 2007»
15 years 6 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
IJDMB
2007
110views more  IJDMB 2007»
15 years 6 months ago
Transductive learning with EM algorithm to classify proteins based on phylogenetic profiles
: Phylogenetic profiles of proteins  strings of ones and zeros encoding respectively the presence and absence of proteins in a group of genomes  have recently been used to id...
Roger A. Craig, Li Liao
ETS
2000
IEEE
121views Hardware» more  ETS 2000»
15 years 6 months ago
Increasing Access to Learning With Hybrid Audio-Data Collaboration
Internet enabled hybrid audio-data collaboration delivers high quality audio over telephone lines and data interaction over packet switched Internet connections, thus distributing...
Michael W. Freeman, Lawrence W. Grimes, J. Ray Hol...