Tensorized feature extraction technique for multimodality preserving manifold visualization

DOI10.1007/s10851-012-0327-1zbMath1255.68274OpenAlexW2065469585MaRDI QIDQ1932987

Si-Yuan Wu, Zhao Zhang

Publication date: 22 January 2013

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-012-0327-1

zbMATH Keywords

feature extractiontensor representationlarge margin projectionlocality preservationmanifold visualizationmultimodality preservation

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)

Uses Software

• darch

Cites Work

• Learning a tensor subspace for semi-supervised dimensionality reduction
• Matching theory
• Semi-supervised local Fisher discriminant analysis for dimensionality reduction
• Image manifolds which are isometric to Euclidean space
• Reducing the Dimensionality of Data with Neural Networks
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Semi-Supervised Bilinear Subspace Learning
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