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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 1 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 4 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
IWCM
2004
Springer
14 years 25 days ago
Wiener-Optimized Discrete Filters for Differential Motion Estimation
Abstract. Differential motion estimation is based on detecting brightness changes in local image structures. Filters approximating the local gradient are applied to the image seque...
Kai Krajsek, Rudolf Mester
CVPR
2008
IEEE
13 years 9 months ago
Photometric stereo with coherent outlier handling and confidence estimation
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
Frank Verbiest, Luc J. Van Gool
WACV
2005
IEEE
14 years 1 months ago
Epipolar Constraints for Vision-Aided Inertial Navigation
— This paper describes a new method to improve inertial navigation using feature-based constraints from one or more video cameras. The proposed method lengthens the period of tim...
David D. Diel, Paul DeBitetto, Seth J. Teller