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NIPS
2008
15 years 4 months ago
Particle Filter-based Policy Gradient in POMDPs
Our setting is a Partially Observable Markov Decision Process with continuous state, observation and action spaces. Decisions are based on a Particle Filter for estimating the bel...
Pierre-Arnaud Coquelin, Romain Deguest, Rém...
ICANN
2010
Springer
15 years 3 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
CSI
2006
136views more  CSI 2006»
15 years 3 months ago
A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems
In a distributed system, a number of application tasks may need to be assigned to different processors such that the system cost is minimized and the constraints with limited reso...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
ICASSP
2011
IEEE
14 years 6 months ago
Impulsive interference mitigation in ad hoc networks based on alpha-stable modeling and particle filtering
In this paper, we tackle the problem of interference mitigation in ad hoc networks. In such context, the multiple access interference (MAI) is known to be of an impulsive nature. ...
Nouha Jaoua, Emmanuel Duflos, Philippe Vanheeghe, ...
CVPR
2009
IEEE
15 years 29 days ago
Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses
This paper presents an online detection-based two-stage multi-object tracking method in dense visual surveillances scenarios with a single camera. In the local stage, a particle f...
Junliang Xing, Haizhou Ai, Shihong Lao