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BMCBI
2010
151views more  BMCBI 2010»
15 years 6 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
231
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ICWSM
2009
15 years 4 months ago
MakeMyPage: Social Media Meets Automatic Content Generation
Finding out about a topic online can be time consuming. It involves visiting multiple news sites, encyclopedia entries, video repositories and other resources while discarding irr...
Francisco Iacobelli, Kristian J. Hammond, Larry Bi...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 9 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham

Book
352views
17 years 4 months ago
Object-Oriented Reengineering Patterns
"The documentation is missing or obsolete, and the original developers have departed. Your team has limited understanding of the system, and unit tests are missing for many, i...
Serge Demeyer, Stéphane Ducasse, Oscar Nierstrasz
ICCV
1999
IEEE
16 years 8 months ago
Fast Approximate Energy Minimization via Graph Cuts
In this paper we address the problem of minimizing a large class of energy functions that occur in early vision. The major restriction is that the energy function's smoothnes...
Yuri Boykov, Olga Veksler, Ramin Zabih