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» Elastic Task Model for Adaptive Rate Control
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CVPR
2011
IEEE
13 years 3 months ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han
ALIFE
2010
13 years 6 months ago
The Utility of Evolving Simulated Robot Morphology Increases with Task Complexity for Object Manipulation
Embodied artificial intelligence argues that the body and brain play equally important roles in the generation of adaptive behavior. An increasingly common approach therefore is to...
Josh Bongard
ENGL
2006
135views more  ENGL 2006»
13 years 7 months ago
An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor
A direct adaptive neural network control system with and without integral action term is designed for the general class of continuous biological fermentation processes. The control...
Ieroham S. Baruch, Petia Georgieva, Josefina Barre...
ICASSP
2010
IEEE
13 years 7 months ago
Learning sparse systems at sub-Nyquist rates: A frequency-domain approach
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
Martin McCormick, Yue M. Lu, Martin Vetterli
ADHOC
2007
159views more  ADHOC 2007»
13 years 7 months ago
Cross-layer adaptive control for wireless mesh networks
Abstract— This paper investigates optimal routing and adaptive scheduling in a wireless mesh network composed of mesh clients and mesh routers. The mesh clients are power constra...
Michael J. Neely, Rahul Urgaonkar