Improved multi-view GEPSVM via inter-view difference maximization and intra-view agreement minimization

DOI10.1016/j.neunet.2020.02.002zbMath1434.68400DBLPjournals/nn/ChengYYHFYT20OpenAlexW3008578648WikidataQ90329512 ScholiaQ90329512MaRDI QIDQ2185779

Ya-Wen Cheng, Zhangjing Yang, Peng Huang, Liyong Fu, Hang Yin, Yuan Tian, Qiaolin Ye

Publication date: 5 June 2020

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.02.002

zbMATH Keywords

robustnessL1-normmulti-view learningGEPSVMIMvGEPSVM

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Capped \(L_{2,p}\)-norm metric based robust least squares twin support vector machine for pattern classification ⋮ Robust GEPSVM Classifier: an efficient iterative optimization framework ⋮ Visual attentional-driven deep learning method for flower recognition

Uses Software

• SIFT
• ReGEC_L1
• MLTSVM

Cites Work

• Unnamed Item
• Unnamed Item
• An efficient weighted Lagrangian twin support vector machine for imbalanced data classification
• Robust L1-norm two-dimensional linear discriminant analysis
• MLTSVM: a novel twin support vector machine to multi-label learning
• Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion
• Rotation invariant texture classification using LBP variance (LBPV) with global matching
• Robust L1-norm non-parallel proximal support vector machine
• Machine Learning Methods in the Environmental Sciences
• Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification
• A Non-Greedy Algorithm for L1-Norm LDA
• L1-Norm Principal-Component Analysis of Complex Data
• Linear Discriminant Analysis Based on L1-Norm Maximization

This page was built for publication: Improved multi-view GEPSVM via inter-view difference maximization and intra-view agreement minimization