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ICONIP
2010
13 years 5 months ago
Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control
Abstract. In this paper, we propose a novel approach for adaptive control of robotic manipulators. Our approach uses a representation of inverse dynamics models learned from a vari...
Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu...
ICCV
2005
IEEE
14 years 9 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
MICRO
2010
IEEE
119views Hardware» more  MICRO 2010»
13 years 5 months ago
A Predictive Model for Dynamic Microarchitectural Adaptivity Control
Abstract--Adaptive microarchitectures are a promising solution for designing high-performance, power-efficient microprocessors. They offer the ability to tailor computational resou...
Christophe Dubach, Timothy M. Jones, Edwin V. Boni...
ICINCO
2008
99views Robotics» more  ICINCO 2008»
13 years 8 months ago
Optimal Control with Adaptive Internal Dynamics Models
Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar