Inductive manifold learning using structured support vector machine

DOI10.1016/j.patcog.2013.07.011zbMath1326.68228OpenAlexW1965515934MaRDI QIDQ898307

Kyoungok Kim, Dae-Won Lee

Publication date: 8 December 2015

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2013.07.011

zbMATH Keywords

dimensionality reductionmanifold learningout-of-sample extensionstructured SVM

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• darch
• COIL-20

Cites Work

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• Fast support-based clustering method for large-scale problems
• Cutting-plane training of structural SVMs
• On the Complexity of Steepest Descent, Newton's and Regularized Newton's Methods for Nonconvex Unconstrained Optimization Problems
• Reducing the Dimensionality of Data with Neural Networks
• Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
• Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
• The elements of statistical learning. Data mining, inference, and prediction

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