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INFOCOM
2009
IEEE
16 years 1 months ago
Random Linear Network Coding For Time Division Duplexing: When To Stop Talking And Start Listening
—A new random linear network coding scheme for reliable communications for time division duplexing channels is proposed. The setup assumes a packet erasure channel and that nodes...
Daniel Enrique Lucani, Milica Stojanovic, Muriel M...
IDA
2005
Springer
16 years 24 days ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka
BIOCOMP
2010
15 years 4 months ago
A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures
Abstract-- This study deals with investigating the classification performance of information-theoretic measures when applied to complex biological networks. In particular, our aim ...
Laurin A. J. Mueller, Karl G. Kugler, Andreas Dand...
TPDS
2008
120views more  TPDS 2008»
15 years 7 months ago
A New Storage Scheme for Approximate Location Queries in Object-Tracking Sensor Networks
Energy efficiency is one of the most critical issues in the design of wireless sensor networks. Observing that many sensor applications for object tracking can tolerate a certain d...
Jianliang Xu, Xueyan Tang, Wang-Chien Lee
EDBT
2009
ACM
184views Database» more  EDBT 2009»
16 years 2 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer