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

	COLORADO STATE UNIVERSITY INSIDE THIS ISSUE: INVERSE PROBLEMS CONFERENCE DocID: 1vo1b - View Document
	Introduction to the Bayesian Approach to Inverse Problems - Part 2: Algorithms Lecture 3 Claudia Schillings, Aretha Teckentrup∗,† ∗ School DocID: 1vmU0 - View Document
	Sensors, Measurement systems and Inverse problems DocID: 1vkio - View Document
	An Improved FOCUSS-Based Learning Algorithm for Solving Sparse Linear Inverse Problems Joseph F. Murray and Kenneth Kreutz-Delgado Electrical and Computer Engineering University of California, San Diego La Jolla, CA 9209 DocID: 1vgO0 - View Document