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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
EDBT
2009
ACM
184views Database» more  EDBT 2009»
16 years 1 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
346
Voted
ICCS
2007
Springer
16 years 1 months ago
High Quality Surface Mesh Generation for Multi-physics Bio-medical Simulations
Abstract. Manual surface reconstruction is still an everyday practice in applications involving complex irregular domains necessary for modeling biological systems. Rapid developme...
Dominik Szczerba, Robert H. P. McGregor, Gá...
NOMS
2002
IEEE
133views Communications» more  NOMS 2002»
15 years 12 months ago
Highly available and efficient load cluster management system using SNMP and Web
To cope with the explosive increase in the number of requests to Internet server systems, one popular solution is a load-balancing technique that uses a dispatcher in the front-en...
Myung-Sup Kim, Mi-Jeong Choi, James W. Hong
220
Voted
BMCBI
2010
160views more  BMCBI 2010»
15 years 7 months ago
Extracting consistent knowledge from highly inconsistent cancer gene data sources
Background: Hundreds of genes that are causally implicated in oncogenesis have been found and collected in various databases. For efficient application of these abundant but diver...
Xue Gong, Ruihong Wu, Yuannv Zhang, Wenyuan Zhao, ...