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» Mode-Finding for Mixtures of Gaussian Distributions
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ESANN
2007
13 years 9 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...
MICCAI
2000
Springer
13 years 11 months ago
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
This paper presents a statistical approach to aggregating speed and phase (directional) information for vascular segmentation in phase contrast magnetic resonance angiograms (PC-MR...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
NN
2002
Springer
161views Neural Networks» more  NN 2002»
13 years 7 months ago
AANN: an alternative to GMM for pattern recognition
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
B. Yegnanarayana, S. P. Kishore
CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 7 months ago
Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
Fionn Murtagh, Jean-Luc Starck
CSDA
2007
134views more  CSDA 2007»
13 years 7 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington