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Multilinear principal component analysis

Known as: MPCA, Multilinear PCA, Multilinear principal-component analysis 
Multilinear Principal Component Analysis (MPCA) is a multilinear extension of principal component analysis (PCA). MPCA is employed in the analysis of… 
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Related topics

Related topics

10 relations
Curse of dimensionalityGait analysisIndependent component analysisKernel principal component analysis

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Ranking Tensor Subspaces in Weighted Multilinear Principal Component Analysis
Multilinear principal component analysis (MPCA) has been applied for tensor decomposition and dimensionality reduction in image… 
2011
2011
A FAST INCREMENTAL MULTILINEAR PRINCIPAL COMPONENT ANALYSIS ALGORITHM
This study establishes the mathematical foundation for a fast incremental multilinear method which combines the traditional… 
2011
2011
Face recognition system using Multilinear Principal Component Analysis and Locality Preserving Projection
Face recognition technology has evolved as an enchanting solution to perform identification and the verification of identity… 
2011
2011
Tracking and Recognizing Multiple Faces Using Kalman Filter and ModularPCA
2010
2010
Batch Process Monitoring Based on Multilinear Principal Component Analysis
A new batch process monitoring based on Multilinear Principal Component Analysis (MLPCA) is proposed in this paper. In the… 
2010
2010
Comparison of different PCA based Face Recognition algorithms using Genetic Programming
Face Recognition plays a vital role in automation of security systems; therefore many algorithms have been invented with varying… 
2009
2009
A novel approach to classification of facial expressions from 3D-mesh datasets using modified PCA
2008
2008
A comparative study of multilinear principal component analysis for face recognition
Motivated by the application of the 2D principal component analysis (PCA) for face recognition, this study proposes a modified… 
2008
2008
Multivariate monitoring for time-derivative non-Gaussian batch process
This research is an application of process monitoring on a pilot-scale sequencing batch reactor (SBR) using a batchwise multiway… 
2005
2005
Double Moving Window MPCA for Online Adaptive Batch Monitoring
Online monitoring of chemical process performance is extremely important to ensure the safety of a chemical plant and… 
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