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» Learning for control from multiple demonstrations
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WCNC
2010
IEEE
14 years 8 months ago
Interference Modeling for Cognitive Radio Networks with Power or Contention Control
—In this paper, we present an interference model for cognitive radio (CR) networks employing power control or contention control scheme. The probability density functions (PDFs) ...
Zengmao Chen, Cheng-Xiang Wang, Xuemin Hong, John ...
ICRA
2006
IEEE
177views Robotics» more  ICRA 2006»
15 years 3 months ago
Autonomous Shape Model Learning for Object Localization and Recognition
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
Joseph Modayil, Benjamin Kuipers
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
15 years 4 months ago
Dogged Learning for Robots
— Ubiquitous robots need the ability to adapt their behaviour to the changing situations and demands they will encounter during their lifetimes. In particular, non-technical user...
Daniel H. Grollman, Odest Chadwicke Jenkins
MDM
2009
Springer
201views Communications» more  MDM 2009»
15 years 4 months ago
OntoMobiLe: A Generic Ontology-Centric Service-Oriented Architecture for Mobile Learning
Creation of pedagogical learning models to handle the specificity of mobile learning and the inherent constraints of mobile devices is a fundamental challenge in mobile learning. ...
Keng Y. Yee, Wee Tiong Ang, Flora S. Tsai, Rajaram...
MICCAI
2009
Springer
15 years 11 months ago
MKL for Robust Multi-modality AD Classification
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...
Chris Hinrichs, Vikas Singh, Guofan Xu, Sterlin...