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ICML
2010
IEEE
13 years 10 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
ML
2002
ACM
127views Machine Learning» more  ML 2002»
13 years 8 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
ESA
2003
Springer
96views Algorithms» more  ESA 2003»
14 years 2 months ago
Streaming Geometric Optimization Using Graphics Hardware
In this paper we propose algorithms for solving a variety of geometric optimization problems on a stream of points in R2 or R3 . These problems include various extent measures (e.g...
Pankaj K. Agarwal, Shankar Krishnan, Nabil H. Must...
ECCV
1998
Springer
14 years 10 months ago
Matching Hierarchical Structures Using Association Graphs
?It is well-known that the problem of matching two relational structures can be posed as an equivalent problem of finding a maximal clique in a (derived) ?association graph.? Howev...
Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker
ICSE
2003
IEEE-ACM
14 years 9 months ago
Fragment Class Analysis for Testing of Polymorphism in Java Software
Testing of polymorphism in object-oriented software may require coverage of all possible bindings of receiver classes and target methods at call sites. Tools that measure this cove...
Atanas Rountev, Ana Milanova, Barbara G. Ryder