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» Support Vector Machines for 3D Object Recognition
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77
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CARS
2004
15 years 2 months ago
Learning-based pulmonary nodule detection from multislice CT data
An automatic computer-aided detection system is developed for detecting pulmonary nodules from high resolution CT data. The system is based on the concept of machine learning. A ro...
Xiaoguang Lu, Guo-Qing Wei, Jian Zhong Qian, Anil ...
UAI
2000
15 years 2 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
107
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MCS
2007
Springer
15 years 7 months ago
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
Ángel Serrano, Isaac Martín de Diego...
TEC
2002
81views more  TEC 2002»
15 years 12 days ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
111
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ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel