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» Computing LTS Regression for Large Data Sets
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EGPGV
2004
Springer
181views Visualization» more  EGPGV 2004»
14 years 1 months ago
Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing
We present a new parallel multiresolution volume rendering algorithm for visualizing large data sets. Using the wavelet transform, the raw data is first converted into a multires...
Chaoli Wang, Jinzhu Gao, Han-Wei Shen
EUROPAR
1999
Springer
14 years 1 days ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
VISUALIZATION
1999
IEEE
14 years 1 days ago
A Multi-Threaded Streaming Pipeline Architecture for Large Structured Data Sets
Computer simulation and digital measuring systems are now generating data of unprecedented size. The size of data is becoming so large that conventional visualization tools are in...
C. Charles Law, Ken Martin, William J. Schroeder, ...
DMIN
2008
176views Data Mining» more  DMIN 2008»
13 years 9 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
IV
2005
IEEE
136views Visualization» more  IV 2005»
14 years 1 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim