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» Learning to Align: A Statistical Approach
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118
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ICML
2009
IEEE
16 years 1 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICML
2007
IEEE
16 years 1 months ago
A kernel-based causal learning algorithm
We describe a causal learning method, which employs measuring the strength of statistical dependences in terms of the Hilbert-Schmidt norm of kernel-based cross-covariance operato...
Xiaohai Sun, Dominik Janzing, Bernhard Schölk...
133
Voted
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
14 years 4 months ago
Active conditional models
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...
Ying Chen, Fernando De la Torre
111
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Combination of stochastic understanding and machine translation systems for language portability of dialogue systems
In this paper, several approaches for language portability of dialogue systems are investigated with a focus on the spoken language understanding (SLU) component. We show that the...
Bassam Jabaian, Laurent Besacier, Fabrice Lefevre
82
Voted
ATAL
2003
Springer
15 years 5 months ago
Providing Effective Access to Shared Resources: A COIN Approach
Managers of systems of shared resources typically have many separate goals. Examples are efficient utilization of the resources among its users and ensuring no user’s satisfacti...
Stéphane Airiau, Sandip Sen, David Wolpert,...