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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 dimensionality
Gait analysis
Independent component analysis
Kernel principal component analysis
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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
T. Filisbino
,
G. Giraldi
,
C. Thomaz
International journal of pattern recognition and…
2017
Corpus ID: 27862207
Multilinear principal component analysis (MPCA) has been applied for tensor decomposition and dimensionality reduction in image…
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2011
2011
Face recognition system using Multilinear Principal Component Analysis and Locality Preserving Projection
J. Shermina
International Conference on Grid and Cooperative…
2011
Corpus ID: 46638220
Face recognition technology has evolved as an enchanting solution to perform identification and the verification of identity…
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2011
2011
Dynamic process monitoring and fault detection in a batch fermentation process
I. Monroy
,
K. Villez
,
M. Graells
,
V. Venkatasubramanian
2011
Corpus ID: 69837789
2010
2010
Comparison of different PCA based Face Recognition algorithms using Genetic Programming
Behzad Bozorgtabar
,
Farzad Noorian
,
Gholam Ali Rezai Rad
International Symposium on Telecommunications
2010
Corpus ID: 3146209
Face Recognition plays a vital role in automation of security systems; therefore many algorithms have been invented with varying…
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2010
2010
Batch Process Monitoring Based on Multilinear Principal Component Analysis
Jinyu Guo
,
Yuan Li
,
Guo-Zhu Wang
,
Jing Zeng
International Conference on Intelligent System…
2010
Corpus ID: 16401073
A new batch process monitoring based on Multilinear Principal Component Analysis (MLPCA) is proposed in this paper. In the…
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2009
2009
A novel approach to classification of facial expressions from 3D-mesh datasets using modified PCA
Y. Venkatesh
,
A. Kassim
,
O. V. R. Murthy
Pattern Recognition Letters
2009
Corpus ID: 34412718
2009
2009
A framework for Case-Based Diagnosis of batch processes in the principal components space
X. Berjaga
,
Á. Pallarés
,
J. Meléndez
IEEE Conference on Emerging Technologies and…
2009
Corpus ID: 14215151
This paper presents a framework for fault detection and diagnosis of batch processes based on the information directly gathered…
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2008
2008
A comparative study of multilinear principal component analysis for face recognition
Jin Wang
,
Yu Chen
,
M. Adjouadi
37th IEEE Applied Imagery Pattern Recognition…
2008
Corpus ID: 41617086
Motivated by the application of the 2D principal component analysis (PCA) for face recognition, this study proposes a modified…
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2006
2006
Tunable THz Generation by the Interaction of a Super-luminous Laser Pulse with Biased Semiconductor Plasma
K. Papadopoulos
,
A. Zigler
2006
Corpus ID: 55777466
Terahertz (THz) radiation is electromagnetic radiation in the range between several hundred and a few thousand GHz. It covers the…
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1999
1999
Translating third-order data analysis methods to chemical batch processes
K. S. Dahl
,
M. Piovoso
,
K. Kosanovich
1999
Corpus ID: 122363580
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