508 search results - page 85 / 102 » Learning for stochastic dynamic programming |
171
Voted
AI
1998
Springer
15 years 1 months ago
1998
Springer
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...
129
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CLUSTER
2007
IEEE
15 years 5 months ago
2007
IEEE
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
115
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ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
122
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DATE
2003
IEEE
15 years 7 months ago
2003
IEEE
Novel reconfigurable computing architectures exploit the inherent parallelism available in many signalprocessing problems. These architectures often consist of networks of compute...
116
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PAMI
2010
15 years 9 days ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...