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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 4 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
CASCON
2001
142views Education» more  CASCON 2001»
13 years 11 months ago
An analytical model for buffer hit rate prediction
Of the many tuning parameters available in a database management system (DBMS), one of the most crucial to performance is the buffer pool size. Choosing an appropriate size, howev...
Yongli Xi, Patrick Martin, Wendy Powley
BC
2002
91views more  BC 2002»
13 years 10 months ago
Linear combinations of nonlinear models for predicting human-machine interface forces
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
James L. Patton, Ferdinando A. Mussa-Ivaldi
ICIP
2002
IEEE
14 years 11 months ago
A predictive contour inertia snake model for general video tracking
In this paper, we present a modified snake model for the problem of general video object tracking. We introduce a new external force into the snake equation based on the predictiv...
Hao Jiang, Mark S. Drew
RECOMB
2006
Springer
14 years 10 months ago
Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
Sauro Menchetti, Andrea Passerini, Paolo Frasconi,...