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» Feature selection in scientific applications
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KDD
2002
ACM
106views Data Mining» more  KDD 2002»
14 years 10 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
ICPR
2004
IEEE
14 years 11 months ago
Localization of Saliency through Iterative Voting
Saliency is an important perceptual cue that occurs at different scales of resolution. Important attributes of saliency are symmetry, continuity, and closure. Detection of these a...
Bahram Parvin, Mary Helen Barcellos-Hoff, Qing Yan...
SIGMOD
2005
ACM
116views Database» more  SIGMOD 2005»
14 years 10 months ago
ProDA: a suite of web-services for progressive data analysis
Online Scientific Applications (OSA) require statistical analysis of large multidimensional datasets. Towards this end, we have designed and developed a data storage and retrieval...
Mehrdad Jahangiri, Cyrus Shahabi
CF
2006
ACM
14 years 3 months ago
Memory efficient parallel matrix multiplication operation for irregular problems
Regular distributions for storing dense matrices on parallel systems are not always used in practice. In many scientific applicati RUMMA) [1] to handle irregularly distributed mat...
Manojkumar Krishnan, Jarek Nieplocha
FPGA
2008
ACM
191views FPGA» more  FPGA 2008»
13 years 11 months ago
A hardware framework for the fast generation of multiple long-period random number streams
Stochastic simulations and other scientific applications that depend on random numbers are increasingly implemented in a parallelized manner in programmable logic. High-quality ps...
Ishaan L. Dalal, Deian Stefan