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ICPR
2006
IEEE
9 years 10 months ago
Multilinear Principal Component Analysis of Tensor Objects for Recognition
In this paper, a multilinear formulation of the popular Principal Component Analysis (PCA) is proposed, named as multilinear PCA (MPCA), where the input can be not only vectors, b...
Anastasios N. Venetsanopoulos, Haiping Lu, Konstan...
TNN
2008
141views more  TNN 2008»
8 years 9 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
CIKM
2010
Springer
8 years 8 months ago
Visualization and clustering of crowd video content in MPCA subspace
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
Haiping Lu, How-Lung Eng, Myo Thida, Konstantinos ...
ICASSP
2011
IEEE
8 years 1 months ago
Automatic target classification in SAR images using MPCA
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Tristan Porges, Gérard Favier
BMVC
2010
8 years 4 months ago
"How old are you?" : Age Estimation with Tensors of Binary Gaussian Receptive Maps
In this paper we describe experiments with a method to automatically estimate human age from facial images. This system extends recent results with the use of a tensorial represen...
John A. Ruiz-Hernandez, James L. Crowley, Augustin...
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