A semisupervised framework for automatic image annotation based on graph embedding and multiview nonnegative matrix factorization

DOI10.1155/2018/5987906zbMath1427.94014OpenAlexW2810882714WikidataQ129616712 ScholiaQ129616712MaRDI QIDQ1721151

Xianqiang Yang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/5987906

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• TagProp

Cites Work

• Unnamed Item
• Efficient multi-modal fusion on supergraph for scalable image annotation
• Multiview Matrix Completion for Multilabel Image Classification
• Image Annotation by Latent Community Detection and Multikernel Learning
• Multiple-Level Feature-Based Measure for Retargeted Image Quality
• Fundamental Principles on Learning New Features for Effective Dense Matching
• Nonlinear Deep Kernel Learning for Image Annotation
• Canonical Correlation Analysis: An Overview with Application to Learning Methods

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