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» Minimization and Partitioning Method Reducing Input Sets
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 1 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis

Presentation
945views
13 years 7 months ago
A Decentralized Method for Maximizing k-coverage Lifetime in WSNs
In this paper, we propose a decentralized method for maximizing lifetime of data collection wireless sensor networks (WSNs) by making minimal number of nodes operate and putting ot...
PG
2003
IEEE
15 years 6 months ago
Breaking the Walls: Scene Partitioning and Portal Creation
In this paper we revisit the cells-and-portals visibility methods, originally developed for the special case of architectural interiors. We define an effectiveness measure for a ...
Alon Lerner, Yiorgos Chrysanthou, Daniel Cohen-Or
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 7 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
TPDS
1998
122views more  TPDS 1998»
15 years 1 months ago
Managing Statistical Behavior of Large Data Sets in Shared-Nothing Architectures
—Increasingly larger data sets are being stored in networked architectures. Many of the available data structures are not easily amenable to parallel realizations. Hashing scheme...
Isidore Rigoutsos, Alex Delis