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AAAI
2000
14 years 11 months ago
Monte Carlo Localization with Mixture Proposal Distribution
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
Sebastian Thrun, Dieter Fox, Wolfram Burgard
ICCV
2003
IEEE
15 years 11 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ICARCV
2006
IEEE
159views Robotics» more  ICARCV 2006»
15 years 3 months ago
A Framework for Tracking Moving Target in a Heterogeneous Camera Suite
— This paper presents a novel approach for tracking a moving target of interest across a large-scale distributed camera system where some of the cameras are mobile. The growing t...
Nan Ning, Tele Tan
NIPS
2001
14 years 11 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
NIPS
2008
14 years 11 months ago
Goal-directed decision making in prefrontal cortex: a computational framework
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
Matthew Botvinick, James An