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123
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CVPR
2010
IEEE
16 years 10 days ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
AI
2000
Springer
15 years 8 months ago
Learning Rewrite Rules versus Search Control Rules to Improve Plan Quality
Domain independent planners can produce better-quality plans through the use of domain-speci c knowledge, typically encoded as search control rules. The planning-by-rewriting appro...
Muhammad Afzal Upal, Renee Elio
111
Voted
NIPS
1996
15 years 5 months ago
Second-order Learning Algorithm with Squared Penalty Term
This paper compares three penalty terms with respect to the efficiency of supervised learning, by using first- and second-order learning algorithms. Our experiments showed that fo...
Kazumi Saito, Ryohei Nakano
ICASSP
2011
IEEE
14 years 7 months ago
Image compression using learned dictionaries by RLS-DLA and compared with K-SVD
The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...
Karl Skretting, Kjersti Engan
120
Voted
AAAI
1998
15 years 5 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans