Efficient multi-modal fusion on supergraph for scalable image annotation

DOI10.1016/j.patcog.2015.01.015zbMath1374.68606OpenAlexW2046315448MaRDI QIDQ1678717

Mansour Jamzad, S. Hamid Amiri

Publication date: 20 November 2017

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2015.01.015

zbMATH Keywords

supergraphmanifold learningprototypeimage annotationmulti-modal representation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Related Items (2)

Joint multi-view representation and image annotation via optimal predictive subspace learning ⋮ A semisupervised framework for automatic image annotation based on graph embedding and multiview nonnegative matrix factorization

Uses Software

• TagProp
• NUS-WIDE
• WSABIE

Cites Work

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• Image annotation via graph learning
• Graph characteristics from the heat kernel trace
• Algorithm 915, SuiteSparseQR
• Contextual Kernel and Spectral Methods for Learning the Semantics of Images
• Fast Semantic Diffusion for Large-Scale Context-Based Image and Video Annotation
• Modeling the shape of the scene: A holistic representation of the spatial envelope

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