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ALGOSENSORS
2008
Springer
13 years 9 months ago
Target Counting under Minimal Sensing: Complexity and Approximations
We consider the problem of counting a set of discrete point targets using a network of sensors under a minimalistic model. Each sensor outputs a single integer, the number of disti...
Sorabh Gandhi, Rajesh Kumar 0003, Subhash Suri
TNN
2010
176views Management» more  TNN 2010»
13 years 2 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
WEA
2005
Springer
107views Algorithms» more  WEA 2005»
14 years 1 months ago
Local Clustering of Large Graphs by Approximate Fiedler Vectors
Vectors [Extended Abstract] Pekka Orponen and Satu Elisa Schaeffer Laboratory for Theoretical Computer Science, P.O. Box 5400 FI-02015 TKK Helsinki University of Technology, Finlan...
Pekka Orponen, Satu Elisa Schaeffer
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 8 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
TALG
2010
86views more  TALG 2010»
13 years 6 months ago
Approximating corridors and tours via restriction and relaxation techniques
Given a rectangular boundary partitioned into rectangles, the Minimum-Length Corridor (MLC-R) problem consists of finding a corridor of least total length. A corridor is a set of ...
Arturo Gonzalez-Gutierrez, Teofilo F. Gonzalez