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NECO
2007
129views more  NECO 2007»
15 years 2 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
PAMI
2007
101views more  PAMI 2007»
15 years 2 months ago
A Thousand Words in a Scene
— This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our wo...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
126
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SCFBM
2008
92views more  SCFBM 2008»
15 years 2 months ago
CRANKITE: A fast polypeptide backbone conformation sampler
Background: CRANKITE is a suite of programs for simulating backbone conformations of polypeptides and proteins. The core of the suite is an efficient Metropolis Monte Carlo sample...
Alexei A. Podtelezhnikov, David L. Wild
116
Voted
MA
2010
Springer
153views Communications» more  MA 2010»
15 years 1 months ago
Testing quasi-independence for truncation data
Quasi-independence is a common assumption for analyzing truncated data. To verify this condition, we consider a class of weighted log-rank type statistics that include existing te...
Takeshi Emura, Weijing Wang
151
Voted
P2P
2010
IEEE
207views Communications» more  P2P 2010»
15 years 1 months ago
Local Access to Sparse and Large Global Information in P2P Networks: A Case for Compressive Sensing
—In this paper we face the following problem: how to provide each peer local access to the full information (not just a summary) that is distributed over all edges of an overlay ...
Rossano Gaeta, Marco Grangetto, Matteo Sereno
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