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NIPS
2003
15 years 7 months 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
INFORMATICALT
2006
102views more  INFORMATICALT 2006»
15 years 6 months ago
Parallel DEM Software for Simulation of Granular Media
The paper describes the development and performance of parallel algorithms for the discrete element method (DEM) software. Spatial domain decomposition strategy and message passing...
Algirdas Maknickas, Arnas Kaceniauskas, Rimantas K...
TIP
2008
169views more  TIP 2008»
15 years 6 months ago
Efficient Nonlocal Means for Denoising of Textural Patterns
The present paper contributes two novel techniques in the context of image restoration by nonlocal filtering. Firstly, we introduce an efficient implementation of the nonlocal mean...
Thomas Brox, Oliver Kleinschmidt, Daniel Cremers
ICIP
2010
IEEE
15 years 4 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang
IWCC
1999
IEEE
15 years 10 months ago
A High Performance Communication Subsystem for PODOS
PODOS is a performance oriented distributed operating system being developed to harness the performance capabilities of a cluster computing environment. In order to address the gr...
Sudharshan Vazhkudai, P. Tobin Maginnis