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163
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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 5 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ICIP
2003
IEEE
16 years 6 months ago
Class-adapted image compression using independent component analysis
This paper exploits independent component analysis (ICA) to obtain transform-based compression schemes adapted to specific image classes. This adaptation results from the data-dep...
Artur J. Ferreira, Mário A. T. Figueiredo
148
Voted
ICPR
2006
IEEE
16 years 5 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...
ICPR
2004
IEEE
16 years 5 months ago
Principal Component Analysis for Online Handwritten Character Recognition
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
A. G. Ramakrishnan, Sriganesh Madhvanath, V. Deepu
124
Voted
IPMI
2007
Springer
16 years 5 months ago
Fully Automated Registration of First-Pass Myocardial Perfusion MRI Using Independent Component Analysis
Abstract. This paper presents a novel method for registration of cardiac perfusion MRI. The presented method successfully corrects for breathing motion without any manual interacti...
Julien Milles, Rob J. van der Geest, Michael Jeros...