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CORR
2011
Springer
259views Education» more  CORR 2011»
13 years 5 months ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...
WWW
2011
ACM
13 years 5 months ago
Counting triangles and the curse of the last reducer
The clustering coefficient of a node in a social network is a fundamental measure that quantifies how tightly-knit the community is around the node. Its computation can be reduce...
Siddharth Suri, Sergei Vassilvitskii
WWW
2011
ACM
13 years 5 months ago
Filtering microblogging messages for social TV
Social TV was named one of the ten most important emerging technologies in 2010 by the MIT Technology Review. Manufacturers of set-top boxes and televisions have recently started ...
Ovidiu Dan, Junlan Feng, Brian D. Davison
JSYML
2010
120views more  JSYML 2010»
13 years 5 months ago
First order properties on nowhere dense structures
A set A of vertices of a graph G is called d-scattered in G if no two d-neighborhoods of (distinct) vertices of A intersect. In other words, A is d-scattered if no two distinct ver...
Jaroslav Nesetril, Patrice Ossona de Mendez
TALG
2010
158views more  TALG 2010»
13 years 5 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...