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ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Person Tracking in Smart Rooms using Dynamic Programming and Adaptive Subspace Learning
We present a robust vision system for single person tracking inside a smart room using multiple synchronized, calibrated, stationary cameras. The system consists of two main compo...
ZhenQiu Zhang, Gerasimos Potamianos, Stephen M. Ch...
NIPS
2008
13 years 10 months ago
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Marek Petrik, Bruno Scherrer
ICALP
2007
Springer
14 years 3 months ago
Streaming and Fully Dynamic Centralized Algorithms for Constructing and Maintaining Sparse Spanners
We present a streaming algorithm for constructing sparse spanners and show that our algorithm out-performs significantly the state-of-the-art algorithm for this task [20]. Speci...
Michael Elkin
BMCBI
2011
13 years 4 months ago
Dynamic programming re-ranking for PPI interactor and pair extraction in full-text articles
Background: Experimentally verified protein-protein interactions (PPIs) cannot be easily retrieved by researchers unless they are stored in PPI databases. The curation of such dat...
Richard Tzong-Han Tsai, Po-Ting Lai
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 4 months ago
Pathologies of temporal difference methods in approximate dynamic programming
Approximate policy iteration methods based on temporal differences are popular in practice, and have been tested extensively, dating to the early nineties, but the associated conve...
Dimitri P. Bertsekas