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» Observation Can Be as Effective as Action in Problem Solving
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ICASSP
2011
IEEE
13 years 14 days ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
IJRR
2010
162views more  IJRR 2010»
13 years 7 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
JIRS
2000
144views more  JIRS 2000»
13 years 8 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
SIBGRAPI
2008
IEEE
14 years 3 months ago
Matching Photometric Observation Vectors with Shadows and Variable Albedo
We describe a procedure to solve the basic problem of Variable Lighting Photometric Stereo – namely, recovering the normal directions and intrinsic albedos at all visible points...
Helena Cristina da Gama Leitão, Rafael Feli...
WCE
2007
13 years 10 months ago
Suboptimal Filter for Multisensor Linear Discrete-Time Systems with Observation Uncertainties
The focus of this paper is the problem of recursive estimation for uncertain multisensor linear discrete-time systems. We herein propose a new suboptimal filtering algorithm. The b...
Tyagi Deepak, Vladimir Shin