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» A Multi-Agent Systems Approach to Autonomic Computing
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CVPR
2011
IEEE
13 years 4 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICAC
2008
IEEE
14 years 2 months ago
Runtime Fault-Handling for Job-Flow Management in Grid Environments
The execution of job flow applications is a reality today in academic and industrial domains. In this paper, we propose an approach to adding self-healing behavior to the executio...
Gargi Dasgupta, Onyeka Ezenwoye, Liana Fong, Selim...
COMPLEX
2009
Springer
14 years 2 months ago
Comparing Networks from a Data Analysis Perspective
To probe network characteristics, two predominant ways of network comparison are global property statistics and subgraph enumeration. However, they suffer from limited information...
Wei Li, Jing-Yu Yang
AROBOTS
2002
115views more  AROBOTS 2002»
13 years 8 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
APCSAC
2005
IEEE
14 years 1 months ago
The Challenges of Massive On-Chip Concurrency
Moore’s law describes the growth in on-chip transistor density, which doubles every 18 to 24 months and looks set to continue for at least a decade and possibly longer. This grow...
Kostas Bousias, Chris R. Jesshope