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» Learning with Weighted Transducers
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ICASSP
2010
IEEE
15 years 3 months ago
A weighted discriminative approach for image denoising with overcomplete representations
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
Amir Adler, Yacov Hel-Or, Michael Elad
UAI
2003
15 years 4 months ago
Locally Weighted Naive Bayes
Despite its simplicity, the naive Bayes classifier has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by thes...
Eibe Frank, Mark Hall, Bernhard Pfahringer
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
15 years 4 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
CVPR
2012
IEEE
13 years 5 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
COLT
2008
Springer
15 years 5 months ago
Learning Mixtures of Product Distributions Using Correlations and Independence
We study the problem of learning mixtures of distributions, a natural formalization of clustering. A mixture of distributions is a collection of distributions D = {D1, . . . DT },...
Kamalika Chaudhuri, Satish Rao