930 search results - page 39 / 186 » Model compression |
ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
ICML
2008
IEEE
16 years 19 days ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
101
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ICMLA
2008
15 years 1 months ago
2008
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
109
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CGF
2006
14 years 12 months ago
2006
Performances of actual mesh compression algorithms vary significantly depending on the type of model it encodes. These methods rely on prior assumptions on the mesh to be efficient...
CRYPTO
2004
Springer
15 years 5 months ago
2004
Springer
Ordinarily, RSA and Rabin ciphertexts and signatures are log N bits, where N is a composite modulus; here, we describe how to “compress” Rabin ciphertexts and signatures (among...