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» A Hierarchical Classifier Using New Support Vector Machine
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ICIP
2006
IEEE
16 years 1 months ago
Automatic Video Genre Categorization using Hierarchical SVM
This paper presents an automatic video genre categorization scheme based on the hierarchical ontology on video genres. Ten computable spatio-temporal features are extracted to dis...
Xun Yuan, Wei Lai, Tao Mei, Xian-Sheng Hua, Xiuqin...
118
Voted
TNN
2010
143views Management» more  TNN 2010»
14 years 6 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
15 years 4 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun
DAGM
2004
Springer
15 years 3 months ago
Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features
Abstract. In this paper, we present a novel method for reducing the computational complexity of a Support Vector Machine (SVM) classifier without significant loss of accuracy. We a...
Matthias Rätsch, Sami Romdhani, Thomas Vetter
CVPR
2008
IEEE
16 years 1 months ago
Classification using intersection kernel support vector machines is efficient
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
Subhransu Maji, Alexander C. Berg, Jitendra Malik