Lagrangian support vector machines for phoneme classification

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. ◽

10.1109/iconip.2002.1201946 ◽

2002 ◽

Cited By ~ 4

Author(s):

A. Ech-Cherif ◽

M. Kohili ◽

A. Benyettou ◽

M. Benyettou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Phoneme Classification ◽

Vector Machines ◽

Lagrangian Support Vector Machines

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Combined Features and Kernel Design for Noise Robust Phoneme Classification Using Support Vector Machines

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2010.2090657 ◽

2011 ◽

Vol 19 (5) ◽

pp. 1396-1407 ◽

Cited By ~ 8

Author(s):

Jibran Yousafzai ◽

Peter Sollich ◽

Zoran Cvetkovic ◽

Bin Yu

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Phoneme Classification ◽

Vector Machines ◽

Combined Features ◽

Noise Robust ◽

Kernel Design

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An incremental learning algorithm for Lagrangian support vector machines

Pattern Recognition Letters ◽

10.1016/j.patrec.2009.07.006 ◽

2009 ◽

Vol 30 (15) ◽

pp. 1384-1391 ◽

Cited By ~ 22

Author(s):

Hua Duan ◽

Xiaojian Shao ◽

Weizhen Hou ◽

Guoping He ◽

Qingtian Zeng

Keyword(s):

Support Vector Machines ◽

Incremental Learning ◽

Learning Algorithm ◽

Support Vector ◽

Vector Machines ◽

Lagrangian Support Vector Machines

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Vowel Phoneme Classification Using SMO Algorithm for Training Support Vector Machines

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications ◽

10.1109/ictta.2008.4530027 ◽

2008 ◽

Cited By ~ 3

Author(s):

Siwar Zribi Boujelbene ◽

Dorra Ben Ayed Mezghani ◽

Noureddine Ellouze

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Training Support ◽

Phoneme Classification ◽

Vector Machines ◽

Smo Algorithm ◽

Vowel Phoneme

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Unsupervised and Semi-supervised Lagrangian Support Vector Machines

Computational Science – ICCS 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72588-6_140 ◽

2007 ◽

pp. 882-889 ◽

Cited By ~ 6

Author(s):

Kun Zhao ◽

Ying-Jie Tian ◽

Nai-Yang Deng

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Vector Machines ◽

Lagrangian Support Vector Machines

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Tuning support vector machines for robust phoneme classification with acoustic waveforms

10.21437/interspeech.2009-366 ◽

2009 ◽

Author(s):

Jibran Yousafzai ◽

Zoran Cvetković ◽

Peter Sollich

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Phoneme Classification ◽

Vector Machines

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Robust Unsupervised Lagrangian Support Vector Machines for Supply Chain Management

Communications in Computer and Information Science - Cutting-Edge Research Topics on Multiple Criteria Decision Making ◽

10.1007/978-3-642-02298-2_95 ◽

2009 ◽

pp. 649-652 ◽

Cited By ~ 1

Author(s):

Kun Zhao ◽

Yong-sheng Liu ◽

Nai-yang Deng

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Support Vector Machines ◽

Support Vector ◽

Chain Management ◽

Vector Machines ◽

Lagrangian Support Vector Machines

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Unsupervised and Semi-supervised Lagrangian Support Vector Machines with Polyhedral Perturbations

2009 Third International Symposium on Intelligent Information Technology Application ◽

10.1109/iita.2009.200 ◽

2009 ◽

Cited By ~ 1

Author(s):

Kun Zhao ◽

Yongsheng Liu ◽

Naiyang Deng

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Vector Machines ◽

Lagrangian Support Vector Machines

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Classification of multispectral images by using Lagrangian support vector machines

10.1117/12.815783 ◽

2008 ◽

Author(s):

Hongmei Zhu ◽

Xiaojun Yang

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Multispectral Images ◽

Vector Machines ◽

Lagrangian Support Vector Machines

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Learning to Generate Optimized Term Weighting for Web Documents Classification - A Parallel Mimetic Approach Based on Support Vector Machines

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i12.10964 ◽

2016 ◽

Vol 11 (12) ◽

pp. 1147

Author(s):

Abderrahmane Bendahmane ◽

Abdelkader Benyettou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Term Weighting ◽

Web Documents ◽

Vector Machines

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Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00236 ◽

2010 ◽

Vol 30 (1) ◽

pp. 236-239 ◽

Cited By ~ 1

Author(s):

Liang XU

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Support Vector Machines ◽

Chemical Process ◽

Least Square ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Feature Extraction ◽

Nonlinear Feature

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