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CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
14 years 2 months ago
Identification of Probability weighted multiple ARX models and its application to behavior analysis
This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting f...
Shun Taguchi, Tatsuya Suzuki, Soichiro Hayakawa, S...
HPCC
2007
Springer
14 years 2 months ago
Energy-Aware Online Algorithm to Satisfy Sampling Rates with Guaranteed Probability for Sensor Applications
Abstract. Energy consumption is a major factor that limits the performance of sensor applications. Sensor nodes have varying sampling rates since they face continuously changing en...
Meikang Qiu, Edwin Hsing-Mean Sha
ICRA
2000
IEEE
121views Robotics» more  ICRA 2000»
14 years 1 months ago
Using Multiple Gaussian Hypotheses to Represent Probability Distributions for Mobile Robot Localization
A new mobile robot localization technique is presented which uses multiple Gaussian hypotheses to represent the probability distribution of the robots location in the environment....
David J. Austin, Patric Jensfelt
WSC
2008
14 years 19 days ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi
AMDO
2008
Springer
14 years 10 days ago
A Generative Model for Motion Synthesis and Blending Using Probability Density Estimation
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
Dumebi Okwechime, Richard Bowden