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» Applying Discrete PCA in Data Analysis
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UAI
2004
13 years 6 months ago
Applying Discrete PCA in Data Analysis
Wray L. Buntine, Aleks Jakulin
ICPR
2006
IEEE
14 years 6 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...
ICIC
2009
Springer
13 years 11 months ago
Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
Jin Zhou, Yuqi Pan, Yuehui Chen, Yang Liu
MICCAI
2008
Springer
14 years 6 months ago
A Novel Explicit 2D+t Cyclic Shape Model Applied to Echocardiography
In this paper, we propose a novel explicit 2D+t cyclic shape model that extends the Point Distribution Model (PDM) to shapes like myocardial contours with cyclic dynamics. We also ...
Ramón Casero, J. Alison Noble
ICPR
2008
IEEE
13 years 11 months ago
Face recognition using curvelet based PCA
This paper identifies a novel feature space to address the problem of human face recognition from still images. This is based on the PCA space of the features extracted by a new m...
Tanaya Mandal, Q. M. Jonathan Wu