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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 8 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
FOCS
2006
IEEE
14 years 1 months ago
On the Compressibility of NP Instances and Cryptographic Applications
We study compression that preserves the solution to an instance of a problem rather than preserving the instance itself. Our focus is on the compressibility of NP decision problem...
Danny Harnik, Moni Naor
CVPR
2005
IEEE
14 years 9 months ago
Shape Matching and Object Recognition Using Low Distortion Correspondences
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
Alexander C. Berg, Tamara L. Berg, Jitendra Malik
MICRO
2003
IEEE
135views Hardware» more  MICRO 2003»
14 years 29 days ago
Generational Cache Management of Code Traces in Dynamic Optimization Systems
A dynamic optimizer is a runtime software system that groups a program’s instruction sequences into traces, optimizes those traces, stores the optimized traces in a softwarebase...
Kim M. Hazelwood, Michael D. Smith
CPAIOR
2006
Springer
13 years 11 months ago
Duality in Optimization and Constraint Satisfaction
We show that various duals that occur in optimization and constraint satisfaction can be classified as inference duals, relaxation duals, or both. We discuss linear programming, su...
John N. Hooker