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115
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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 7 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
105
Voted
IROS
2006
IEEE
142views Robotics» more  IROS 2006»
15 years 6 months ago
Experience Based Imitation Using RNNPB
—Robot imitation is a useful and promising alternative to robot programming. Robot imitation involves two crucial issues. The first is how a robot can imitate a human whose phys...
Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunor...
97
Voted
AR
2007
99views more  AR 2007»
15 years 19 days ago
Experience-based imitation using RNNPB
Abstract— Robot imitation is a useful and promising alternative to robot programming. Robot imitation involves two crucial issues. The first is how a robot can imitate a human w...
Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunor...
PAMI
2008
160views more  PAMI 2008»
15 years 14 days ago
Motion Segmentation and Depth Ordering Using an Occlusion Detector
We present a novel method for motion segmentation and depth ordering from a video sequence in general motion. We first compute motion segmentation based on differential properties ...
Doron Feldman, Daphna Weinshall
98
Voted
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
14 years 7 months ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof