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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 7 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 3 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 6 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
199
Voted
EDBT
2009
ACM
184views Database» more  EDBT 2009»
16 years 1 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