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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
186
Voted
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
16 years 7 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 7 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 7 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
VLSID
2006
IEEE
142views VLSI» more  VLSID 2006»
16 years 7 months ago
Impact of Configurability and Extensibility on IPSec Protocol Execution on Embedded Processors
- Security protocols, such as IPSec and SSL, are being increasingly deployed in the context of networked embedded systems. The resource-constrained nature of embedded systems and, ...
Nachiketh R. Potlapally, Srivaths Ravi, Anand Ragh...
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