Adaptive multiple graph regularized semi-supervised extreme learning machine

DOI10.1007/S00500-018-3109-XzbMath1398.68468OpenAlexW2794135378WikidataQ130154717 ScholiaQ130154717MaRDI QIDQ1797946

Wei Zhou, Caixia Zheng, Shaojie Qiao, Yugen Yi, Qing-hua Liu, Jian-Zhong Wang

Publication date: 22 October 2018

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-018-3109-x

zbMATH Keywords

image classificationsemi-supervisedextreme learning machine (ELM)multiple graph

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Automatic optic disc detection in color retinal images by local feature spectrum analysis

Uses Software

• Yale Face
• CMU PIE
• AR face

Cites Work

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• Multiple graph regularized nonnegative matrix factorization
• Trends in extreme learning machines: a review
• Online finger-knuckle-print verification for personal authentication
• A fast SVD-hidden-nodes based extreme learning machine for large-scale data analytics
• Dimension Reduction With Extreme Learning Machine
• Robust Visual Knowledge Transfer via Extreme Learning Machine-Based Domain Adaptation
• Learning representations by back-propagating errors
• Learning with $\ell ^{1}$-graph for image analysis
• Semisupervised Multiview Distance Metric Learning for Cartoon Synthesis

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