Nonparametric Bayesian Extraction of Object Configurations in Massive Data

This study presents an unsupervised method for detection of configurations of objects based on a point process in a nonparametric Bayesian framework. This is of interest as the model presented here has a number of parameters that increases with the number of objects detected. The marked point proces...

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Veröffentlicht in:	IEEE transactions on signal processing 2015-04, Vol.63 (8), p.1911-1924
Hauptverfasser:	Meillier, Celine, Chatelain, Florent, Michel, Olivier, Ayasso, Hacheme
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes methods Computer Science Data models Detection Equations hyperspectral Hyperspectral imaging marked point process Markov chain Monte Carlo method Microscopy Object detection Signal and Image Processing Signal processing algorithms
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