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» Discriminant Analysis with Tensor Representation
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ICPR
2002
IEEE
13 years 12 months ago
Multilinear Image Analysis for Facial Recognition
Natural images are the composite consequence of multiple factors related to scene structure, illumination, and imaging. For facial images, the factors include different facial geo...
M. Alex O. Vasilescu, Demetri Terzopoulos
BMVC
2010
13 years 5 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
ICPR
2002
IEEE
14 years 8 months ago
Robust Affine Motion Estimation in Joint Image Space Using Tensor Voting
Robustness of parameter estimation relies on discriminating inliers from outliers within the set of correspondences. In this paper, we present a method using tensor voting to elim...
Eun-Young Kang, Gérard G. Medioni, Isaac Co...
ICPR
2006
IEEE
14 years 8 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...
ISNN
2007
Springer
14 years 1 months ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek