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CVPR
2010
IEEE
16 years 2 months 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 10 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
NIPS
1996
15 years 7 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 10 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
AAAI
1998
15 years 7 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