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MOBIHOC
2006
ACM
14 years 8 months ago
DRAND: : distributed randomized TDMA scheduling for wireless ad-hoc networks
This paper presents a distributed implementation of RAND, a randomized time slot scheduling algorithm, called DRAND. DRAND runs in O() time and message complexity where is the max...
Injong Rhee, Ajit Warrier, Jeongki Min, Lisong Xu
DCC
2004
IEEE
14 years 8 months ago
Discrete Universal Filtering Through Incremental Parsing
In the discrete filtering problem, a data sequence over a finite alphabet is assumed to be corrupted by a discrete memoryless channel. The goal is to reconstruct the clean sequenc...
Erik Ordentlich, Tsachy Weissman, Marcelo J. Weinb...
SODA
2010
ACM
704views Algorithms» more  SODA 2010»
14 years 6 months ago
A locality-sensitive hash for real vectors
We present a simple and practical algorithm for the c-approximate near neighbor problem (c-NN): given n points P Rd and radius R, build a data structure which, given q Rd , can ...
Tyler Neylon
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
14 years 6 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 6 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...