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CVPR
2008
IEEE
15 years 11 months ago
Fast image search for learned metrics
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Prateek Jain, Brian Kulis, Kristen Grauman
CPAIOR
2006
Springer
15 years 1 months ago
AND/OR Branch-and-Bound Search for Pure 0/1 Integer Linear Programming Problems
Abstract. AND/OR search spaces have recently been introduced as a unifying paradigm for advanced algorithmic schemes for graphical models. The main virtue of this representation is...
Radu Marinescu 0002, Rina Dechter
AI
2003
Springer
15 years 2 months ago
Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design
Sets of DNA strands that satisfy combinatorial constraints play an important role in various approaches to biomolecular computation, nanostructure design, and molecular tagging. Th...
Dan C. Tulpan, Holger H. Hoos
ICML
2001
IEEE
15 years 10 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
SARA
2009
Springer
15 years 2 months ago
Light Algorithms for Maintaining Max-RPC During Search
Abstract. This article presents two new algorithms whose purpose is to maintain the Max-RPC domain filtering consistency during search with a minimal memory footprint and implemen...
Julien Vion, Romuald Debruyne