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TSP
2008
151views more  TSP 2008»
13 years 9 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
TWC
2008
140views more  TWC 2008»
13 years 9 months ago
Exclusive-Region Based Scheduling Algorithms for UWB WPAN
With the capability of supporting very high data rate services in a short range, Ultra-Wideband (UWB) technology is appealing to multimedia applications in future wireless personal...
Kuang-Hao Liu, Lin Cai, Xuemin Shen
TWC
2008
159views more  TWC 2008»
13 years 9 months ago
Resource allocation for spectrum underlay in cognitive radio networks
A resource allocation framework is presented for spectrum underlay in cognitive radio networks. We consider both interference constraints for primary users and quality of service (...
Long Bao Le, Ekram Hossain
TWC
2008
135views more  TWC 2008»
13 years 9 months ago
Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks
A novel framework was introduced recently for stochastic routing in wireless multihop networks, whereby each node selects a neighbor to forward a packet according to a probability...
Alejandro Ribeiro, Nikolas D. Sidiropoulos, Georgi...
ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 9 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
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