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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.
2016
2016
A Machine Learning Framework for Automated Functionality Monitoring of Movable Bridges
M. Malekzadeh
,
F. Necati Catbas
2016
Corpus ID: 63099188
Functionality of movable bridge highly depends on the performance of the mechanical components including gearbox and motor…
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2015
2015
master universitario internazionale II livello in: gestione del progetto complesso di architettura GPCA/management du projet complexe d'architecture MPCA
N. Trasi
2015
Corpus ID: 194391044
2015
2015
Comparing Ranking Methods for Tensor Components in Multilinear and Concurrent Subspace Analysis with Applications in Face Images
T. Filisbino
,
G. Giraldi
,
C. Thomaz
International Journal of Image and Graphics
2015
Corpus ID: 34080064
In the area of multi-dimensional image databases modeling, the multilinear principal component analysis (MPCA) and concurrent…
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2014
2014
SAR target feature extraction and recognition based multilinear principal component analysis
Liping Hu
,
Xiao-Yu Xing
Other Conferences
2014
Corpus ID: 123493001
In this paper, a multilinear principal component analysis (MPCA) algorithm is applied to dimensionality reduction in synthetic…
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2009
2009
A framework for Case-Based Diagnosis of batch processes in the principal components space
X. Berjaga
,
Álvaro 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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Review
2006
Review
2006
PHASE IV GIS-BASED SEDIMENT QUALITY DATABASE FOR THE ST. LOUIS RIVER AREA OF CONCERN—WISCONSIN FOCUS Overview of Sediment Quality Conditions in the St. Louis River Area of Concern
Kate Angel
2006
Corpus ID: 132888109
2005
2005
NUTRIENT CRITERIA DEVELOPMENT WITH A LINKED MODELING SYSTEM: CALIBRATION OF AQUATOX ACROSS A NUTRIENT GRADIENT
R. Park
,
J. Clough
,
M. Wellman
,
A. Donigian
2005
Corpus ID: 140121026
Nutrients (nitrogen and phosphorus) are leading causes of water quality impairment in the Nation’s rivers, lakes and estuaries…
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2003
2003
Chemometrics and intelligent laboratory systems Multiway partial least squares in monitoring batch processes
P. Nomikos
,
J. F. MacGregor
2003
Corpus ID: 18321662
Multivariate statistical procedures for monitoring the progress of batch processes are developed. Multi-way partial least squares…
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Review
1994
Review
1994
Hydrogeologic and water-quality data used to characterize the Management Systems Evaluation Area near Princeton, Minnesota, 1991
Geoffrey N. Delin
,
M. K. Landon
,
J. Lamb
,
J. Anderson
1994
Corpus ID: 109732694
The Minnesota Management Systems Evaluation Area project is part of a multi-scale, inter-agency initiative to evaluate the…
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