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» Approximating max-min linear programs with local algorithms
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SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
15 years 10 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
ICPR
2008
IEEE
15 years 11 months ago
Solving quadratically constrained geometrical problems using lagrangian duality
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Carl Olsson, Anders Eriksson
LCTRTS
2009
Springer
15 years 4 months ago
A compiler optimization to reduce soft errors in register files
Register file (RF) is extremely vulnerable to soft errors, and traditional redundancy based schemes to protect the RF are prohibitive not only because RF is often in the timing c...
Jongeun Lee, Aviral Shrivastava
BMCBI
2008
218views more  BMCBI 2008»
14 years 9 months ago
LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
AI
1998
Springer
14 years 9 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok