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» The Performance Potential of Value and Dependence Prediction
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ICIP
2009
IEEE
14 years 8 months ago
Studying The Added Value Of Visual Attention In Objective Image Quality Metrics Based On Eye Movement Data
Current research on image quality assessment tends to include visual attention in objective metrics to further enhance their performance. A variety of computational models of visu...
ICIP
2000
IEEE
14 years 9 months ago
Statistical Threshold Design for the Two-State Signal-Dependent Rank Order Mean Filter
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
Michael S. Moore, Sanjit K. Mitra
COGSR
2011
97views more  COGSR 2011»
13 years 2 months ago
Sleep loss and driver performance: Quantitative predictions with zero free parameters
Fatigue has been implicated in an alarming number of motor vehicle accidents, costing billions of dollars and thousands of lives. Unfortunately, the ability to predict performance...
Glenn Gunzelmann, L. Richard Moore, Dario D. Salvu...
IPPS
2000
IEEE
13 years 11 months ago
Predicting Performance on SMPs. A Case Study: The SGI Power Challenge
We study the issue of performance prediction on the SGIPower Challenge, a typical SMP. On such a platform, the cost of memory accesses depends on their locality and on contention ...
Nancy M. Amato, Jack Perdue, Mark M. Mathis, Andre...
FUZZIEEE
2007
IEEE
14 years 1 months ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen