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» Issues in Developing Very Large Data Warehouses
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CVPR
2004
IEEE
14 years 9 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
PAMI
2010
276views more  PAMI 2010»
13 years 6 months ago
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
Yijun Sun, Sinisa Todorovic, Steve Goodison
MICRO
2010
IEEE
143views Hardware» more  MICRO 2010»
13 years 2 months ago
SD3: A Scalable Approach to Dynamic Data-Dependence Profiling
Abstract--As multicore processors are deployed in mainstream computing, the need for software tools to help parallelize programs is increasing dramatically. Data-dependence profili...
Minjang Kim, Hyesoon Kim, Chi-Keung Luk
DATE
2003
IEEE
103views Hardware» more  DATE 2003»
14 years 1 months ago
Area Fill Generation With Inherent Data Volume Reduction
Control of variability and performance in the back end of the VLSI manufacturing line has become extremely difficult with the introduction of new materials such as copper and low...
Yu Chen, Andrew B. Kahng, Gabriel Robins, Alexande...
CSREASAM
2006
13 years 9 months ago
A Visual Environment for Characterization of State Changes in Computer Systems
: Traditional state modeling techniques have several limitations. One of these is the reduced ability to model a large number of variables simultaneously. Another limitation is tha...
Gregory Vert, Sergiu M. Dascalu, Frederick C. Harr...