Sensorimotor Coupling Via Dynamic Bayesian Networks

First Page		Document Content
Date: 2008-10-26 13:10:53 Science Inverse problems Cognitive science Eye Eye tracking Vision Inverse kinematics Hidden Markov model Robotics Physics Robot kinematics Humanâ€“computer interaction		Sensorimotor Coupling Via Dynamic Bayesian Networks Add to Reading List Source URL: www.phriends.eu Download Document from Source Website File Size: 382,63 KB Share Document on Facebook

	SYSTEMS OF POINTS WITH COULOMB INTERACTIONS SYLVIA SERFATY Abstract. Large ensembles of points with Coulomb interactions arise in various settings of condensed matter physics, classical and quantum mechanics, statistical DocID: 1xVYR - View Document
	Hierarchical Task Model with Alternatives for Predictive-reactive Scheduling Marek Vlk and Roman Barta´k (supervisor) Charles University in Prague, Faculty of Mathematics and Physics Malostranske´ na´m. 25, Pra DocID: 1xVDu - View Document
	Physics 7-12 "DBEFNJD.BQ Post-Baccalaureate DocID: 1xVjU - View Document
	Verified Computations Using Taylor Models and Their Applications Kyoko Makino and Martin Berz Department of Physics and Astronomy Michigan State University DocID: 1xUgc - View Document
	master thesis in computer science by Maria A Schett submitted to the Faculty of Mathematics, Computer Science and Physics of the University of Innsbruck DocID: 1xU26 - View Document