Tensorized multi-view subspace representation learning

DOI10.1007/s11263-020-01307-0zbMath1483.68328OpenAlexW3007380221MaRDI QIDQ2056150

Yanyan Li

Publication date: 1 December 2021

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: http://gala.gre.ac.uk/id/eprint/29894/1/29894%20WANG_Tensorized_Multi-view_Subspace_Representation_%28AAM%29_2020.pdf

zbMATH Keywords

constraint matrixlow-rank tensorsubspace clusteringmulti-view representation learning

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Machine vision and scene understanding (68T45)

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Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering, A structure noise-aware tensor dictionary learning method for high-dimensional data clustering

Cites Work

• Unnamed Item
• Robust visual tracking via consistent low-rank sparse learning
• On unifying multi-view self-representations for clustering by tensor multi-rank minimization
• Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning
• A Note On Parallel Matrix Inversion
• A Singular Value Thresholding Algorithm for Matrix Completion
• Introduction to Information Retrieval
• Penalized Probabilistic Clustering
• A Multilinear Singular Value Decomposition
• On the Best Rank-1 and Rank-(R₁ ,R₂ ,. . .,R_N) Approximation of Higher-Order Tensors
• Constrained Multi-View Video Face Clustering
• Weakly Supervised Deep Matrix Factorization for Social Image Understanding
• Flexible Multi-View Dimensionality Co-Reduction
• Algorithm 432 [C2: Solution of the matrix equation AX + XB = C [F4]]
• A fast convergent iterative solver for approximate inverse of matrices