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» Improving Cause Detection Systems with Active Learning
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NOMS
2008
IEEE
132views Communications» more  NOMS 2008»
14 years 1 months ago
DYSWIS: An architecture for automated diagnosis of networks
As the complexity of networked systems increases, we need mechanisms to automatically detect failures in the network and diagnose the cause of such failures. To realize true self-...
Vishal Kumar Singh, Henning Schulzrinne, Kai Miao
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
DATE
2010
IEEE
188views Hardware» more  DATE 2010»
14 years 15 days ago
Power-accuracy tradeoffs in human activity transition detection
— Wearable, mobile computing platforms are envisioned to be used in out-patient monitoring and care. These systems continuously perform signal filtering, transformations, and cla...
Jeffrey Boyd, Hari Sundaram, Aviral Shrivastava
ECAI
2004
Springer
14 years 24 days ago
Active Learning for Robot Manipulation
Abstract— Learning techniques in robotic grasping applications have usually been concerned with the way a hand approaches to an object, or with improving the motor control of man...
Antonio Morales, Eris Chinellato, Andrew H. Fagg, ...
TCOM
2011
85views more  TCOM 2011»
13 years 2 months ago
Exploiting Sparse User Activity in Multiuser Detection
—The number of active users in code-division multiple access (CDMA) systems is often much lower than the spreading gain. The present paper exploits fruitfully this a priori infor...
Hao Zhu, Georgios B. Giannakis