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» Measuring and Predicting Object Importance
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ISDA
2009
IEEE
14 years 3 months ago
Measures for Unsupervised Fuzzy-Rough Feature Selection
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
Neil MacParthalain, Richard Jensen
VTC
2007
IEEE
162views Communications» more  VTC 2007»
14 years 2 months ago
Improving Vertical Handover Performance with PHY-Mode Recommendations Based on Localized Link State Measurements
— Cooperation amongst heterogeneous mobile radio systems will be an indispensable feature of ‘beyond 3G’. One key mechanism thereby serving as enabling technique for system i...
Daniel Bültmann, Matthias Siebert, Jijun Luo
ICIP
2002
IEEE
14 years 10 months ago
Video quality assessment using structural distortion measurement
Objective image/video quality measures play important roles in various image/video processing applications, such as compression, communication, printing, analysis, registration, r...
Zhou Wang, Ligang Lu, Alan C. Bovik
ICASSP
2010
IEEE
13 years 8 months ago
No-reference image sharpness assessment based on local phase coherence measurement
Sharpness is one of the most determining factors in the perceptual assessment of image quality. Objective image sharpness measures may play important roles in the design and optim...
Rania Hassen, Zhou Wang, Magdy Salama
JOT
2006
185views more  JOT 2006»
13 years 8 months ago
Empirical Study of Object-Oriented Metrics
The increasing importance of software measurement has led to development of new software measures. Many metrics have been proposed related to various constructs like class, coupli...
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchi...