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FOCS
2008
IEEE
14 years 2 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. â€...
Michael Ben-Or, Avinatan Hassidim
SIGIR
2008
ACM
13 years 7 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
CORR
2010
Springer
87views Education» more  CORR 2010»
13 years 6 months ago
Using Evolution Strategy with Meta-models for Well Placement Optimization
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in we...
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger
3DPVT
2006
IEEE
183views Visualization» more  3DPVT 2006»
14 years 1 months ago
High-Quality Real-Time Stereo Using Adaptive Cost Aggregation and Dynamic Programming
We present a stereo algorithm that achieves high quality results while maintaining real-time performance. The key idea is simple: we introduce an adaptive aggregation step in a dy...
Liang Wang, Miao Liao, Minglun Gong, Ruigang Yang,...
ICCV
2009
IEEE
15 years 23 days ago
Moving in Stereo: Efficient Structure and Motion Using Lines
We present a fast and robust system for estimating structure and motion using a stereo pair, with straight lines as features. Our first set of contributions are efficient algorit...
Manmohan Chandraker, Jongwoo Lim, David Kriegman