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» Co-Scheduling of Computation and Data on Computer Clusters
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NIPS
2003
14 years 4 days ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
RT
1998
Springer
14 years 3 months ago
Automatic Calculation of Soft Shadow Textures for Fast, High-Quality Radiosity
We propose a new method for greatly accelerating the computation of complex, detailed shadows in a radiosity solution. Radiosity is computed using a "standard" hierarchi...
Cyril Soler, François X. Sillion
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 4 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
PLDI
2011
ACM
13 years 1 months ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typ...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan
INFORMATICALT
2011
170views more  INFORMATICALT 2011»
13 years 5 months ago
Community Detection Through Optimal Density Contrast of Adjacency Matrix
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
Tianzhu Liang, Kwok Yip Szeto