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» A Framework for Optimizing Paper Matching
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163
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AIPS
2000
15 years 8 months ago
A New Perspective on Algorithms for Optimizing Policies under Uncertainty
The paper takes a fresh look at algorithms for maximizing expected utility over a set of policies, that is, a set of possible ways of reacting to observations about an uncertain s...
Rina Dechter
MST
2007
90views more  MST 2007»
15 years 6 months ago
Optimal Semicomputable Approximations to Reachable and Invariant Sets
In this paper we consider the computation of reachable, viable and invariant sets for discrete-time systems. We use the framework of type-two effectivity, in which computations a...
Pieter Collins
186
Voted
AUTOMATICA
2007
82views more  AUTOMATICA 2007»
15 years 7 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
188
Voted
ECCV
2008
Springer
16 years 9 months ago
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
This paper improves recent methods for large scale image search. State-of-the-art methods build on the bag-of-features image representation. We, first, analyze bag-of-features in t...
Herve Jegou, Matthijs Douze, Cordelia Schmid
203
Voted
CRV
2008
IEEE
165views Robotics» more  CRV 2008»
16 years 1 months ago
Hierarchical Stereo with Thin Structures and Transparency
Dense stereo algorithms rely on matching over a range of disparities. To speed up the search and reduce match ambiguity, processing can be embedded in the hierarchical, or coarse-...
Mikhail Sizintsev