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ICML
2004
IEEE
16 years 5 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
HPDC
1999
IEEE
15 years 8 months ago
Dodo: A User-level System for Exploiting Idle Memory in Workstation Clusters
In this paper, we present the design and implementation of Dodo, an e cient user-level system for harvesting idle memory in o -the-shelf clusters of workstations. Dodo enables dat...
Samir Koussih, Anurag Acharya, Sanjeev Setia
ECIR
2008
Springer
15 years 5 months ago
Clustering Template Based Web Documents
More and more documents on the World Wide Web are based on templates. On a technical level this causes those documents to have a quite similar source code and DOM tree structure. G...
Thomas Gottron
BMCBI
2008
132views more  BMCBI 2008»
15 years 4 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 4 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han