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» Evolving kernels for support vector machine classification
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AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
15 years 3 months ago
LUT-Based Adaboost for Gender Classification
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
Bo Wu, Haizhou Ai, Chang Huang
ICMLC
2010
Springer
14 years 9 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
PAMI
2006
358views more  PAMI 2006»
14 years 11 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
CI
2006
101views more  CI 2006»
14 years 12 months ago
Sentiment Classification of Movie Reviews Using Contextual Valence Shifters
We present two methods for determining the sentiment expressed by a movie review. The semantic orientation of a review can be positive, negative, or neutral. We examine the effect...
Alistair Kennedy, Diana Inkpen
ICPR
2008
IEEE
16 years 1 months ago
Joint visual vocabulary for animal classification
This paper presents a method for visual object categorization based on encoding the joint textural information in objects and the surrounding background, and requiring no segmenta...
Alireza Tavakoli Targhi, Andrzej Pronobis, Heydar ...