Phase Transitions in Semidefinite Relaxations Adel Javanmard∗, Andrea Montanari† and Federico Ricci-Tersenghi‡ January 4, 2016 Abstract Statistical inference problems arising within signal processing, data mining,

Source URL: web.stanford.edu

Visual Analytics for Development and Evaluation of Order Selection Criteria for Autoregressive Processes ¨ ¨ Thomas Lowe Student Member, IEEE, Emmy-Charlotte Forster

Source URL: graphics.tu-bs.de

• Model selection
• Time series analysis
• Signal processing
• Statistical models
• Noise
• Akaike information criterion
• HannanQuinn information criterion
• Bayesian information criterion
• Autoregressive model
• Predictive analytics
• Unit root
• Autocorrelation

IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 11, NOVEMBERNonparametric Decentralized Detection Using Kernel Methods

Source URL: dept.stat.lsa.umich.edu

• Machine learning
• Learning
• Artificial intelligence
• Statistics
• Support vector machine
• Kernel method
• Statistical classification
• Positive-definite kernel
• Empirical risk minimization
• Loss function
• Statistical learning theory
• Bayes estimator

Bayesian Blind Deconvolution from Differently Exposed Image Pairs

Source URL: decsai.ugr.es

• Statistics
• Statistical theory
• Mathematical analysis
• Estimation theory
• Signal processing
• Bayesian statistics
• Probability distributions
• Image processing
• Deconvolution
• Blind deconvolution
• Gamma distribution
• Variational Bayesian methods

2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSPAugust 29 – September 1, 2010, Kittilä, Finland IMAGE PRIOR COMBINATION IN SUPER-RESOLUTION IMAGE REGISTRATION & RECONSTRUCTION Sa

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• Probability distributions
• Statistical models
• Gamma distribution
• Variational Bayesian methods
• Bayesian network
• Normal distribution
• KullbackLeibler divergence

Blind restoration of blurred photographs via AR modelling and MCMC

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• Mathematical analysis
• Statistics
• Mathematics
• Functional analysis
• Image processing
• Signal processing
• Fourier analysis
• Statistical theory
• Convolution
• Maximum likelihood estimation
• Distribution
• Normal distribution

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 54, NO. 7, JULYrequiring the storage of O (d) cells. Since each cell has j6j + 1 entries, the space complexity is in O(min(d2 j6j log r; d(n 0 d)j6j log j6j)) bits. Th

Source URL: dept.stat.lsa.umich.edu

• Statistical theory
• Operations research
• Systems engineering
• Signal processing
• Digital signal processing
• Quantization
• Dynamic programming
• KullbackLeibler divergence
• Information theory
• Optimal design

Nonlinear directed acyclic structure learning with weakly additive noise models Peter Spirtes Arthur Gretton Robert E. Tillman

Source URL: select.cs.cmu.edu

• Statistics
• Analysis
• Data
• Statistical models
• Multivariate statistics
• Signal processing
• Data analysis
• Independent component analysis
• Time series analysis
• Additive white Gaussian noise
• Gaussian function
• Positive-definite kernel

Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance Julián Urbano Mónica Marrero

Source URL: julian-urbano.info

• Estimation theory
• Statistical theory
• Statistical inference
• Covariance and correlation
• Signal processing
• Estimator
• Bias of an estimator
• L-estimator
• Maximum likelihood estimation
• Correlation and dependence
• Efficiency
• Standard deviation

IMAGE RESTORATION BY MIXTURE MODELLING OF AN OVERCOMPLETE LINEAR REPRESENTATION L. Mancera1 , S. Derin Babacan2 , R. Molina1 , A. K. Katsaggelos2 1 Departamento de Ciencias

Source URL: decsai.ugr.es

• Statistics
• Mathematical analysis
• Signal processing
• Probability
• Image compression
• Functional analysis
• Timefrequency analysis
• Wavelet
• Statistical models
• Peak signal-to-noise ratio
• Overcompleteness
• Noise reduction