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» Maximal Vector Computation in Large Data Sets
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VLDB
2005
ACM
73views Database» more  VLDB 2005»
13 years 10 months ago
Maximal Vector Computation in Large Data Sets
Parke Godfrey, Ryan Shipley, Jarek Gryz
ICMLA
2008
13 years 6 months ago
An Improved Generalized Discriminant Analysis for Large-Scale Data Set
In order to overcome the computation and storage problem for large-scale data set, an efficient iterative method of Generalized Discriminant Analysis is proposed. Because sample v...
Weiya Shi, Yue-Fei Guo, Cheng Jin, Xiangyang Xue
PAMI
2008
139views more  PAMI 2008»
13 years 4 months ago
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishna...
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 5 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
VIS
2009
IEEE
205views Visualization» more  VIS 2009»
14 years 6 months ago
Time and Streak Surfaces for Flow Visualization in Large Time-Varying Data Sets
Time and streak surfaces are ideal tools to illustrate time-varying vector fields since they directly appeal to the intuition about coherently moving particles. However, efficient ...
Hari Krishnan, Christoph Garth, Kenneth I. Joy