Probabilistic sequential independent components analysis

Under-complete models, which derive lower dimensional representations of input data, are valuable in domains in which the number of input dimensions is very large, such as data consisting of a temporal sequence of images. This paper presents the under-complete product of experts (UPoE), where each e...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2004-07, Vol.15 (4), p.838-849
Hauptverfasser:	Welling, M., Zemel, R.S., Hinton, G.E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Artificial Intelligence Computer Simulation Decision Support Techniques Density Expert Systems Feature extraction Graphical models Image analysis Image Interpretation, Computer-Assisted - methods Image sequence analysis Independent component analysis Information analysis Information Storage and Retrieval - methods Information Theory Learning Maximum likelihood estimation Models, Statistical Neural networks Neural Networks (Computer) Pattern Recognition, Automated Principal Component Analysis Probability Learning Projection Pursuit algorithms Unsupervised learning
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