Journal ArticleDOI
Probability, Random Variables, and Stochastic Processes
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This article is published in Technometrics.The article was published on 1966-05-01. It has received 4028 citations till now. The article focuses on the topics: Algebra of random variables & Convergence of random variables.read more
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Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
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Fast and robust fixed-point algorithms for independent component analysis
TL;DR: Using maximum entropy approximations of differential entropy, a family of new contrast (objective) functions for ICA enable both the estimation of the whole decomposition by minimizing mutual information, and estimation of individual independent components as projection pursuit directions.
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The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
TL;DR: The Navier-Stokes equations are well-known to be a good model for turbulence as discussed by the authors, and the results of well over a century of increasingly sophisticated experiments are available at our disposal.
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Alignment by Maximization of Mutual Information
Paul A. Viola,William M. Wells +1 more
TL;DR: A new information-theoretic approach is presented for finding the pose of an object in an image that works well in domains where edge or gradient-magnitude based methods have difficulty, yet it is more robust than traditional correlation.
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Bayesian Compressive Sensing
Shihao Ji,Ya Xue,Lawrence Carin +2 more
TL;DR: The underlying theory, an associated algorithm, example results, and comparisons to other compressive-sensing inversion algorithms in the literature are presented.