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ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
SEMWEB
2010
Springer
14 years 7 months ago
2010
Springer
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
COLING
2010
14 years 4 months ago
2010
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
CISS
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
IPMI
2009
Springer
15 years 10 months ago
2009
Springer
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...