A Novel Hyperspectral Unmixing Method based on Least Squares Twin Support Vector Machines

European Journal of Remote Sensing ◽

10.1080/22797254.2021.1877572 ◽

2021 ◽

Vol 54 (1) ◽

pp. 72-85

Author(s):

Liguo Wang ◽

San Wang ◽

Xiuping Jia ◽

Tianyi Bi

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Hyperspectral Unmixing ◽

Vector Machines

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1-Norm least squares twin support vector machines

Neurocomputing ◽

10.1016/j.neucom.2011.06.015 ◽

2011 ◽

Vol 74 (17) ◽

pp. 3590-3597 ◽

Author(s):

Shangbing Gao ◽

Qiaolin Ye ◽

Ning Ye

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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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 ◽

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

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Least squares twin support vector machines for text categorization

2015 39th National Systems Conference (NSC) ◽

10.1109/natsys.2015.7489094 ◽

2015 ◽

Author(s):

M. Arun Kumar ◽

M. Gopal

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Text Categorization ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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Weighted least squares projection twin support vector machines with local information

Neurocomputing ◽

10.1016/j.neucom.2015.02.021 ◽

2015 ◽

Vol 160 ◽

pp. 228-237 ◽

Author(s):

Xiaopeng Hua ◽

Shifei Ding

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Weighted Least Squares ◽

Local Information ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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Robust energy-based least squares twin support vector machines

Applied Intelligence ◽

10.1007/s10489-015-0751-1 ◽

2016 ◽

Vol 45 (1) ◽

pp. 174-186 ◽

Author(s):

Mohammad Tanveer ◽

Mohammad Asif Khan ◽

Shen-Shyang Ho

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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Energy-based model of least squares twin Support Vector Machines for human action recognition

Signal Processing ◽

10.1016/j.sigpro.2014.04.010 ◽

2014 ◽

Vol 104 ◽

pp. 248-257 ◽

Author(s):

Jalal A. Nasiri ◽

Nasrollah Moghadam Charkari ◽

Kourosh Mozafari

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Action Recognition ◽

Human Action Recognition ◽

Human Action ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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Least squares twin support vector machines for pattern classification

Expert Systems with Applications ◽

10.1016/j.eswa.2008.09.066 ◽

2009 ◽

Vol 36 (4) ◽

pp. 7535-7543 ◽

Author(s):

M. Arun Kumar ◽

M. Gopal

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Pattern Classification ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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Least Squares Twin Support Vector Machines Based on Sample Reduction for Hyperspectral Image Classification

Proceedings of the 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics ◽

10.2991/ameii-15.2015.223 ◽

2015 ◽

Author(s):

Li-guo Wang ◽

Ting-ting Lu ◽

Yue-shuang Yang

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Image Classification ◽

Hyperspectral Image ◽

Support Vector ◽

Hyperspectral Image Classification ◽

Twin Support Vector Machines ◽

Vector Machines

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Knowledge based Least Squares Twin support vector machines

Information Sciences ◽

10.1016/j.ins.2010.07.034 ◽

2010 ◽

Vol 180 (23) ◽

pp. 4606-4618 ◽

Author(s):

M. Arun Kumar ◽

Reshma Khemchandani ◽

M. Gopal ◽

Suresh Chandra

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Knowledge Based ◽

Vector Machines

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Fuzzy least squares twin support vector machines

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2019.06.018 ◽

2019 ◽

Vol 85 ◽

pp. 402-409 ◽

Author(s):

Javad Salimi Sartakhti ◽

Homayun Afrabandpey ◽

Nasser Ghadiri

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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