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» EM Algorithms for PCA and SPCA
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NIPS
1997
13 years 5 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
IDA
1998
Springer
13 years 4 months ago
Fast Dimensionality Reduction and Simple PCA
A fast and simple algorithm for approximately calculating the principal components (PCs) of a data set and so reducing its dimensionality is described. This Simple Principal Compo...
Matthew Partridge, Rafael A. Calvo
ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
13 years 10 months ago
FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
Zhiwen Yu, Hau-San Wong
WAW
2009
Springer
115views Algorithms» more  WAW 2009»
13 years 9 months ago
Web Page Rank Prediction with PCA and EM Clustering
Polyxeni Zacharouli, Michalis Titsias, Michalis Va...
ICIP
2004
IEEE
14 years 6 months ago
Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
François Destrempes, Jacques A. de Guise, M...