SSC-EKE: semi-supervised classification with extensive knowledge exploitation

DOI10.1016/j.ins.2017.08.093zbMath1436.68312OpenAlexW2758602683WikidataQ88301955 ScholiaQ88301955MaRDI QIDQ781002

Chen Xi, Pengjiang Qian, Min Xu, Kuan-Hao Su, Yizhang Jiang, Raymond F. Muzic, Shi-Tong Wang

Publication date: 16 July 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5881956

zbMATH Keywords

knowledgemanifold learninggraph Laplaciansupport vector machine (SVM)semi-supervised classificationreproducing kernel Hilbert space (RKHS)

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

Uses Software

• Bow

Cites Work

• Semi-supervised classification based on random subspace dimensionality reduction
• On minimum class locality preserving variance support vector machine
• A survey of cross-validation procedures for model selection
• A method based on Rayleigh quotient gradient flow for extreme and interior eigenvalue problems
• Modeling the shape of the scene: A holistic representation of the spatial envelope
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