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» Locality optimization in wireless applications
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NIPS
2007
15 years 7 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
WINET
2011
15 years 1 months ago
High performance, low complexity cooperative caching for wireless sensor networks
During the last decade, Wireless Sensor Networks (WSNs) have emerged and matured at such point that currently support several applications like environment control, intelligent bu...
Nikos Dimokas, Dimitrios Katsaros, Leandros Tassiu...
WIMOB
2008
IEEE
16 years 21 days ago
Multi-hop Cross-Layer Design in Wireless Sensor Networks: A Case Study
—Cross-layer design has been proposed as a promising paradigm to tackle various problems of wireless communication systems. Recent research has led to a variety of protocols that...
Philipp Hurni, Torsten Braun, Bharat K. Bhargava, ...
TMC
2008
156views more  TMC 2008»
15 years 6 months ago
Rendezvous Planning in Wireless Sensor Networks with Mobile Elements
Recent research shows that significant energy saving can be achieved in wireless sensor networks by using mobile elements (MEs) capable of carrying data mechanically. However, the ...
Guoliang Xing, Tian Wang, Zhihui Xie, Weijia Jia
TPDS
1998
157views more  TPDS 1998»
15 years 6 months ago
A Compiler Optimization Algorithm for Shared-Memory Multiprocessors
This paper presents a new compiler optimization algorithm that parallelizes applications for symmetric, sharedmemory multiprocessors. The algorithm considers data locality, parall...
Kathryn S. McKinley