METHODS ARTICLE published: 25 August 2012 doi: [removed]fnhum[removed]HUMAN NEUROSCIENCE

First Page		Document Content
Date: 2013-05-06 04:59:23 Machine learning Thresholding Functional magnetic resonance imaging Cluster analysis Mixture model Statistical significance Signal-to-noise ratio Gaussian function Noise Statistics Neuroimaging Image processing		METHODS ARTICLE published: 25 August 2012 doi: [removed]fnhum[removed]HUMAN NEUROSCIENCE Add to Reading List Source URL: homepages.inf.ed.ac.uk Download Document from Source Website File Size: 2,21 MB Share Document on Facebook

	Newton Method for the ICA Mixture Model DocID: 1vftd - View Document
	Semi-Supervised Learning with the Deep Rendering Mixture Model Tan Nguyen1,2 Wanjia Liu1 Ethan Perez1 Richard G. Baraniuk1 DocID: 1v26R - View Document
	BUDVYTIS ET AL.: MOT FOR VIDEO SEGMENTATION 1 MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation DocID: 1uILx - View Document
	Vol. 18 noPages 1194–1206 BIOINFORMATICS Bayesian infinite mixture model based clustering DocID: 1usTr - View Document
	Research © 2011 by The American Society for Biochemistry and Molecular Biology, Inc. This paper is available on line at http://www.mcponline.org A Bayesian Mixture Model for Comparative Spectral Count Data in Shotgun Pr DocID: 1uaWx - View Document