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167
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ICASSP
2010
IEEE
15 years 5 months ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 8 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
AAAI
2004
15 years 6 months ago
Rapid Object Recognition from Discriminative Regions of Interest
Object recognition and detection represent a relevant component in cognitive computer vision systems, such as in robot vision, intelligent video surveillance systems, or multi-mod...
Gerald Fritz, Christin Seifert, Lucas Paletta, Hor...
135
Voted
PICS
2003
15 years 6 months ago
Eye Tracking Observers During Rank Order, Paired Comparison, and Graphical Rating Tasks
In studying image quality and image preference it is necessary to collect psychophysical data. A variety of methods are used to arrive at interval scale values which indicate the ...
Jason S. Babcock, Jeff B. Pelz, Mark D. Fairchild
143
Voted
CATA
2009
15 years 6 months ago
Performance Enhancement of Web Server System
The invention of the Internet has ushered in advances in information era which has revolutionized the way we conduct business, advances our knowledge and promote life long learning...
Sarah Tasneem, Reda A. Ammar, Lester Lipsky, Howar...