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JMLR
2010
169views more  JMLR 2010»
14 years 6 months ago
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Deep belief nets have been successful in modeling handwritten characters, but it has proved more difficult to apply them to real images. The problem lies in the restricted Boltzma...
Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E....
ICCV
2011
IEEE
13 years 12 months ago
Building a better probabilistic model of images by factorization
We describe a directed bilinear model that learns higherorder groupings among features of natural images. The model represents images in terms of two sets of latent variables: one...
Jack Culpepper, Jascha Sohl-Dickstein, Bruno Olaha...
ISCA
2012
IEEE
224views Hardware» more  ISCA 2012»
13 years 2 months ago
A first-order mechanistic model for architectural vulnerability factor
Soft error reliability has become a first-order design criterion for modern microprocessors. Architectural Vulnerability Factor (AVF) modeling is often used to capture the probab...
Arun A. Nair, Stijn Eyerman, Lieven Eeckhout, Lizy...
DAC
1999
ACM
15 years 4 months ago
ENOR: Model Order Reduction of RLC Circuits Using Nodal Equations for Efficient Factorization
ENOR is an innovative way to produce provablypassive, reciprocal, and compact representations of RLC circuits. Beginning with the nodal equations, ENOR formulates recurrence relat...
Bernard N. Sheehan
IJCAI
2007
15 years 1 months ago
A Factor Graph Model for Software Bug Finding
Automatic tools for finding software errors require knowledge of the rules a program must obey, or “specifications,” before they can identify bugs. We present a method that ...
Ted Kremenek, Andrew Y. Ng, Dawson R. Engler