A survey of multilinear subspace learning for tensor data

2011/01/20 by Haiping Lu, Konstantinos N. Plataniotis, A.N. Venetsanopoulos +1 · 6 citations
Computer Science · Mathematics · #Face and Expression Recognition #Speech and Audio Processing #Tensor decomposition and applications

paper · doi:10.1016/j.patcog.2011.01.004

openalex publication_date 2011/01/20 · crossref created 2011/01/20 · crossref issued 2011/07/01 · crossref published 2011/07/01 · crossref published-print 2011/07/01 · crossref deposited 2025/03/01 · openalex created_date 2025/10/10 · crossref indexed 2026/07/21 · openalex updated_date 2026/07/23

Citations

• Some Mathematical Notes on Three-Mode Factor Analysis
• Principal Component Analysis of Three-Mode Data by Means of Alternating Least Squares Algorithms
• Analysis of Individual Differences in Multidimensional Scaling Via an N-way Generalization of “Eckart-Young” Decomposition
• A Global Geometric Framework for Nonlinear Dimensionality Reduction
• Tensor Decompositions and Applications
• Algorithm 862
• Optimizing Spatial filters for Robust EEG Single-Trial Analysis
• Uncorrelated Multilinear Discriminant Analysis With Regularization and Aggregation for Tensor Object Recognition
• An Introduction to Biometric Recognition
• Survey of Clustering Algorithms
• General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

Cited by

• Tensor Completion Algorithms in Big Data Analytics
• On the compressibility of tensors
• JADE for Tensor-Valued Observations
• Matrix Product State for Higher-Order Tensor Compression and Classification
• Signal detection in nearly continuous spectra and symmetry breaking
• Machine learning [wikipedia]