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113
Voted
DCC
2009
IEEE
16 years 4 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
161
Voted
IAT
2009
IEEE
15 years 10 months ago
Cluster-Swap: A Distributed K-median Algorithm for Sensor Networks
In building practical sensor networks, it is often beneficial to use only a subset of sensors to take measurements because of computational, communication, and power limitations....
Yoonheui Kim, Victor R. Lesser, Deepak Ganesan, Ra...
INFOCOM
2009
IEEE
15 years 10 months ago
Dynamic Power Allocation Under Arbitrary Varying Channels - An Online Approach
—A major problem in wireless networks is coping with limited resources, such as bandwidth and energy. These issues become a major algorithmic challenge in view of the dynamic nat...
Niv Buchbinder, Liane Lewin-Eytan, Ishai Menache, ...
INFOCOM
2005
IEEE
15 years 9 months ago
Distributed algorithms for secure multipath routing
— To proactively defend against intruders from readily jeopardizing single-path data sessions, we propose a distributed secure multipath solution to route data across multiple pa...
Patrick P. C. Lee, Vishal Misra, Dan Rubenstein
SENSYS
2005
ACM
15 years 9 months ago
MAX: human-centric search of the physical world
MAX is a system that facilitates human-centric search of the physical world. It allows humans to search for and locate objects as and when they need it instead of organizing them ...
Kok-Kiong Yap, Vikram Srinivasan, Mehul Motani