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IJCV
1998
163views more  IJCV 1998»
15 years 10 days ago
CONDENSATION - Conditional Density Propagation for Visual Tracking
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
Michael Isard, Andrew Blake
TMC
2010
139views more  TMC 2010»
14 years 11 months ago
Optimize Storage Placement in Sensor Networks
—Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. Storage nodes are introdu...
Bo Sheng, Qun Li, Weizhen Mao
93
Voted
IOR
2010
98views more  IOR 2010»
14 years 10 months ago
A Shadow Simplex Method for Infinite Linear Programs
We present a Simplex-type algorithm, that is, an algorithm that moves from one extreme point of the infinite-dimensional feasible region to another not necessarily adjacent extrem...
Archis Ghate, Dushyant Sharma, Robert L. Smith
122
Voted
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 7 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
108
Voted
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 7 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor