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ICCV
2009
IEEE
15 years 2 months ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
14 years 9 months ago
Approximate Confidence Computation in Probabilistic Databases
Abstract-- This paper introduces a deterministic approximation algorithm with error guarantees for computing the probability of propositional formulas over discrete random variable...
Dan Olteanu, Jiewen Huang, Christoph Koch
IJCAI
2003
13 years 11 months ago
Amalgams of Constraint Satisfaction Problems
Many of standard practical techniques of solving constraint satisfaction problems use various decomposition methods to represent a problem as a combination of smaller ones. We stu...
Andrei A. Bulatov, Evgeny S. Skvortsov
JUCS
2006
112views more  JUCS 2006»
13 years 9 months ago
Construction of Wavelets and Applications
: A sequence of increasing translation invariant subspaces can be defined by the Haar-system (or generally by wavelets). The orthogonal projection to the subspaces generates a deco...
Ildikó László, Ferenc Schipp,...
AIPS
2011
13 years 1 months ago
Searching for Plans with Carefully Designed Probes
We define a probe to be a single action sequence computed greedily from a given state that either terminates in the goal or fails. We show that by designing these probes carefull...
Nir Lipovetzky, Hector Geffner