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CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
13 years 3 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley
ANSS
1996
IEEE
14 years 29 days ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
CORR
2004
Springer
195views Education» more  CORR 2004»
13 years 8 months ago
Detecting User Engagement in Everyday Conversations
This paper presents a novel application of speech emotion recognition: estimation of the level of conversational engagement between users of a voice communication system. We begin...
Chen Yu, Paul M. Aoki, Allison Woodruff
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 1 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
AMDO
2000
Springer
14 years 1 months ago
Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
Nobutaka Shimada, Yoshiaki Shirai, Yoshinori Kuno