An autoencoder‐based piecewise linear model for nonlinear classification using quasilinear support vector machines

Weite Li; Peifeng Liang; Jinglu Hu

doi:10.1002/tee.22923

An autoencoder‐based piecewise linear model for nonlinear classification using quasilinear support vector machines

IEEJ Transactions on Electrical and Electronic Engineering ◽

10.1002/tee.22923 ◽

2019 ◽

Vol 14 (8) ◽

pp. 1236-1243 ◽

Cited By ~ 3

Author(s):

Weite Li ◽

Peifeng Liang ◽

Jinglu Hu

Keyword(s):

Support Vector Machines ◽

Linear Model ◽

Piecewise Linear ◽

Support Vector ◽

Nonlinear Classification ◽

Piecewise Linear Model ◽

Vector Machines

Hierarchical mixing linear support vector machines for nonlinear classification

Pattern Recognition ◽

10.1016/j.patcog.2016.02.018 ◽

2016 ◽

Vol 59 ◽

pp. 255-267 ◽

Cited By ~ 10

Author(s):

Di Wang ◽

Xiaoqin Zhang ◽

Mingyu Fan ◽

Xiuzi Ye

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Nonlinear Classification ◽

Vector Machines

Recursive least squares projection twin support vector machines for nonlinear classification

Neurocomputing ◽

10.1016/j.neucom.2013.02.046 ◽

2014 ◽

Vol 130 ◽

pp. 3-9 ◽

Cited By ~ 32

Author(s):

Shifei Ding ◽

Xiaopeng Hua

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Recursive Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Nonlinear Classification ◽

Vector Machines

Support vector machines with piecewise linear feature mapping

Neurocomputing ◽

10.1016/j.neucom.2013.01.023 ◽

2013 ◽

Vol 117 ◽

pp. 118-127 ◽

Cited By ~ 18

Author(s):

Xiaolin Huang ◽

Siamak Mehrkanoon ◽

Johan A.K. Suykens

Keyword(s):

Support Vector Machines ◽

Piecewise Linear ◽

Support Vector ◽

Feature Mapping ◽

Linear Feature ◽

Vector Machines

Human Detection in Images via Piecewise Linear Support Vector Machines

IEEE Transactions on Image Processing ◽

10.1109/tip.2012.2222901 ◽

2013 ◽

Vol 22 (2) ◽

pp. 778-789 ◽

Cited By ~ 25

Author(s):

Qixiang Ye ◽

Zhenjun Han ◽

Jianbin Jiao ◽

Jianzhuang Liu

Keyword(s):

Support Vector Machines ◽

Piecewise Linear ◽

Human Detection ◽

Support Vector ◽

Vector Machines

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

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

Combining Market and Accounting-Based Models for Credit Scoring Using a Classification Scheme Based on Support Vector Machines

SSRN Electronic Journal ◽

10.2139/ssrn.2156220 ◽

2012 ◽

Cited By ~ 1

Author(s):

Dimitrios Niklis ◽

Michael Doumpos ◽

C. Zopounidis

Keyword(s):

Support Vector Machines ◽

Classification Scheme ◽

Credit Scoring ◽

Support Vector ◽

Vector Machines

Reconstructing U.S. Recession Probabilities Using Support Vector Machines

SSRN Electronic Journal ◽

10.2139/ssrn.2779889 ◽

2016 ◽

Author(s):

Roman Armani Garagulagian

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Vector Machines

C wedge(1,1) Approximations of Generalized Support Vector Machines

SSRN Electronic Journal ◽

10.2139/ssrn.616601 ◽

2002 ◽

Author(s):

Davide La Torre ◽

Carlo Vercellis

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Vector Machines

Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines

10.21528/cbic2017-78 ◽

2018 ◽

Author(s):

Nelson Marcelo Romero Aquino ◽

Matheus Gutoski ◽

Leandro Takeshi Hattori ◽

Heitor Silvério Lopes

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Soft Biometrics ◽

Vector Machines