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ISPASS
2006
IEEE
14 years 1 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
NIPS
2004
13 years 9 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
CLUSTER
2005
IEEE
14 years 1 months ago
A pipelined data-parallel algorithm for ILP
The amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly...
Nuno A. Fonseca, Fernando M. A. Silva, Víto...
BMCBI
2005
163views more  BMCBI 2005»
13 years 7 months ago
Alkahest NuclearBLAST: a user-friendly BLAST management and analysis system
Background -: Sequencing of EST and BAC end datasets is no longer limited to large research groups. Drops in per-base pricing have made high throughput sequencing accessible to in...
Stephen E. Diener, Thomas D. Houfek, Sam E. Kalat,...
AH
2008
Springer
14 years 1 months ago
Collection Browsing through Automatic Hierarchical Tagging
In order to navigate huge document collections efficiently, tagged hierarchical structures can be used. For users, it is important to correctly interpret tag combinations. In this ...
Korinna Bade, Marcel Hermkes