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» Dominating Distributions and Learnability
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TSP
2010
14 years 11 months ago
Shrinkage algorithms for MMSE covariance estimation
We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O....
PR
2011
14 years 7 months ago
A novel mutual nearest neighbor based symmetry for text frame classification in video
In the field of multimedia retrieval in video, text frame classification is essential for text detection, event detection, event boundary detection etc. We propose a new text fram...
Palaiahnakote Shivakumara, Anjan Dutta, Trung Quy ...
AAAI
2011
14 years 4 months ago
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets
One proposed approach to managing a large complex Smart Grid is through Broker Agents who buy electrical power from distributed producers, and also sell power to consumers, via a ...
Prashant P. Reddy, Manuela M. Veloso
WWW
2002
ACM
16 years 5 months ago
A graphical user interface toolkit approach to thin-client computing
Network and server-centric computing paradigms are quickly returning to being the dominant methods by which we use computers. Web applications are so prevalent that the role of a ...
Simon Lok, Steven Feiner, William M. Chiong, Yoav ...
INFOCOM
2010
IEEE
15 years 2 months ago
Transition from Heavy to Light Tails in Retransmission Durations
— Retransmissions serve as the basic building block that communication protocols use to achieve reliable data transfer. Until recently, the number of retransmissions were thought...
Jian Tan, Ness B. Shroff