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» A Boosting Algorithm for Regression
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168
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PAMI
2011
14 years 10 months ago
Revisiting Linear Discriminant Techniques in Gender Recognition
—Emerging applications of computer vision and pattern recognition in mobile devices and networked computing require the development of resourcelimited algorithms. Linear classifi...
Juan Bekios-Calfa, José Miguel Buenaposada,...
88
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Empirical Type-i filter design for image interpolation
Empirical filter designs generalize relationships inferred from training data to effect realistic solutions that conform well to the human visual system. Complex algorithms invol...
Karl S. Ni, Truong Q. Nguyen
145
Voted
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 9 months ago
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
Bianca Zadrozny, John Langford, Naoki Abe
140
Voted
ICML
2007
IEEE
16 years 4 months ago
Learning for efficient retrieval of structured data with noisy queries
Increasingly large collections of structured data necessitate the development of efficient, noise-tolerant retrieval tools. In this work, we consider this issue and describe an ap...
Charles Parker, Alan Fern, Prasad Tadepalli
114
Voted
IEEEARES
2008
IEEE
15 years 10 months ago
A Preliminary Investigation of Skype Traffic Classification Using a Minimalist Feature Set
In this work, AdaBoost and C4.5, are employed for classifying Skype direct (UDP and TCP) communications from traffic log files. Pre-processing is applied to the traffic data to ex...
Duffy Angevine, A. Nur Zincir-Heywood