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» Multilinear Subspace Analysis of Image Ensembles
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TNN
2008
141views more  TNN 2008»
13 years 5 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...
CVPR
2008
IEEE
13 years 11 months ago
A theoretical analysis of linear and multi-linear models of image appearance
Linear and multi-linear models of object shape/appearance (PCA, 3DMM, AAM/ASM, multilinear tensors) have been very popular in computer vision. In this paper, we analyze the validi...
Yilei Xu, Amit K. Roy Chowdhury
ICPR
2002
IEEE
13 years 10 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
MCS
2010
Springer
13 years 7 months ago
Choosing Parameters for Random Subspace Ensembles for fMRI Classification
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
Ludmila I. Kuncheva, Catrin O. Plumpton
FGR
2004
IEEE
163views Biometrics» more  FGR 2004»
13 years 9 months ago
Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition
We review several model-based and image-based methods that we have developed for analyzing, synthesizing, and recognizing facial images. Our model-based methods include a sophisti...
Demetri Terzopoulos, Yuencheng Lee, M. Alex O. Vas...