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» A Training Method with Small Computation for Classification
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SIAMSC
2010
116views more  SIAMSC 2010»
13 years 3 months ago
Optimized Schwarz Waveform Relaxation for the Primitive Equations of the Ocean
In this article we are interested in the derivation of efficient domain decomposition methods for the viscous primitive equations of the ocean. We consider the rotating 3d incompre...
Emmanuel Audusse, Pierre Dreyfuss, Benoit Merlet
ICPR
2008
IEEE
14 years 10 months ago
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation
We present a new method for compact representation of large image datasets. Our method is based on treating small patches from an image as matrices as opposed to the conventional ...
Ajit Rajwade, Anand Rangarajan, Arunava Banerjee, ...
CVPR
2010
IEEE
14 years 5 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
NAACL
2010
13 years 7 months ago
Relaxed Marginal Inference and its Application to Dependency Parsing
Recently, relaxation approaches have been successfully used for MAP inference on NLP problems. In this work we show how to extend the relaxation approach to marginal inference use...
Sebastian Riedel, David A. Smith
PRL
2002
95views more  PRL 2002»
13 years 8 months ago
Dissimilarity representations allow for building good classifiers
In this paper, a classification task on dissimilarity representations is considered. A traditional way to discriminate between objects represented by dissimilarities is the neares...
Elzbieta Pekalska, Robert P. W. Duin