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» Approximation Algorithms for Clustering Problems
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SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 10 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
FOCS
2009
IEEE
15 years 11 months ago
Approximating Minimum Cost Connectivity Problems via Uncrossable Bifamilies and Spider-Cover Decompositions
Abstract— We give approximation algorithms for the Generalized Steiner Network (GSN) problem. The input consists of a graph
Zeev Nutov
149
Voted
CORR
2010
Springer
162views Education» more  CORR 2010»
15 years 3 months ago
Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
Apoorva Jindal, Mingyan Liu
PR
2008
170views more  PR 2008»
15 years 4 months ago
Annealing and the normalized N-cut
We describe an annealing procedure that computes the normalized N-cut of a weighted graph G. The first phase transition computes the solution of the approximate normalized 2-cut p...
Tomás Gedeon, Albert E. Parker, Collette Ca...
EUSFLAT
2009
194views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
A Fuzzy Particle Swarm Optimization Algorithm for a Cell Formation Problem
Group technology (GT) is a useful way to increase productivity with high quality in cellular manufacturing systems (CMSs), in which cell formation (CF) is a key step in the GT phil...
Esmaeil Mehdizadeh, Reza Tavakkoli-Moghaddam