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» Gender Classification with Support Vector Machines
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ICPR
2002
IEEE
15 years 11 months ago
A Computationally Efficient Approach to Indoor/Outdoor Scene Classification
Prior research in scene classification has shown that high-level information can be inferred from low-level image features. Classification rates of roughly 90% have been reported ...
Navid Serrano, Andreas E. Savakis, Jiebo Luo
EDM
2008
136views Data Mining» more  EDM 2008»
14 years 11 months ago
Machine Classification of Peer Comments in Physics
As part of an ongoing project where SWoRD, a Web-based reciprocal peer review system, is used to support disciplinary writing, this study reports machine learning classifications o...
Kwangsu Cho
TNN
2008
182views more  TNN 2008»
14 years 10 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
AMFG
2003
IEEE
157views Biometrics» more  AMFG 2003»
15 years 3 months ago
Inference of Human Postures by Classification of 3D Human Body Shape
In this paper we describe an approach for inferring the body posture using a 3D visual-hull constructed from a set of silhouettes. We introduce an appearance-based, view-independe...
Isaac Cohen, Hongxia Li
ISM
2005
IEEE
138views Multimedia» more  ISM 2005»
15 years 3 months ago
Investigation of Combining SVM and Decision Tree for Emotion Classification
This paper discusses the use of a combination of support vector machine and decision tree learning for recognizing four emotions in speech, which are Neutral, Angry, Lombard, and ...
Thao Nguyen, Mingkun Li, Iris Bass, Ishwar K. Seth...