Learning High-Order MRF Priors of Color Images Julian J. McAuley National ICT Australia, Canberra, ACT 0200, Australia University of New South Wales, Sydney, NSW 2052, Australia Tib´

Source URL: tiberiocaetano.com

Bayesian analysis of the neuromagnetic inverse problem with ` p -norm priors Toni Auranen,a,∗ Aapo Nummenmaa,a Matti S. Hämäläinen,b Iiro P. Jääskeläinen,a,b Jouko Lampinen,a Aki Vehtari,a and Mikko Samsa a Labor

Source URL: www.lce.hut.fi

Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors Antonio L IJOI, Ramsés H. M ENA, and Igor P RÜNSTER In recent years the Dirichlet process prior has experienced a great success in the context of Ba

Source URL: economia.unipv.it

Statistica Sinica), INVESTIGATING NONPARAMETRIC PRIORS WITH GIBBS STRUCTURE Antonio Lijoi1 , Igor Pr¨ unster2 and Stephen G. Walker3

Source URL: economia.unipv.it

Errata: Gaussian-like Spatial Priors for Articulated Tracking Søren Hauberg December 28, 2015 This document provides a list of known issues for the paper “Gaussian-like Spatial Priors for Articulated Tracking” [1].

Source URL: www2.compute.dtu.dk

Introduction : Matrix Completion Bayesian Estimation with Gaussian Priors Bayesian Estimation with Bounded Priors Bayesian Matrix Completion: Prior Specification and Minimax Rates

Source URL: alquier.ensae.net

BAYESIAN COMPRESSIVE SENSING OF WAVELET COEFFICIENTS USING MULTISCALE LAPLACIAN PRIORS Esteban Vera1 , Luis Mancera2 , S. Derin Babacan3 , Rafael Molina2 , and Aggelos K. Katsaggelos3 1 2

Source URL: decsai.ugr.es

• Signal processing
• Electrical engineering
• Statistics
• Mathematical analysis
• Wavelet
• Compressed sensing
• Bayesian network

FAST BAYESIAN COMPRESSIVE SENSING USING LAPLACE PRIORS S. Derin Babacan1 , Rafael Molina2 , Aggelos K. Katsaggelos1 1 2 Department of Electrical Engineering

Source URL: decsai.ugr.es

• Statistics
• Probability
• Mathematical analysis
• Probability distributions
• Linear algebra
• Bayesian statistics
• Laplace distribution
• Compressed sensing
• Marginal likelihood
• Relevance vector machine
• Bayesian network
• Bayesian inference

Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors

Source URL: decsai.ugr.es

• Neuroimaging
• Neurotechnology
• Cognitive neuroscience
• Electrodiagnosis
• Medical tests
• Functional magnetic resonance imaging
• Magnetoencephalography
• Electroencephalography
• Bayesian inference
• Prior probability
• Bayesian network
• Functional neuroimaging

Exploiting 3D Semantic Scene Priors for Online Traffic Light Interpretation Dan Barnes, Will Maddern and Ingmar Posner Abstract— In this paper we present a probabilistic framework for increasing online object detection

Source URL: europa2.informatik.uni-freiburg.de

• Transport
• Land transport
• Road transport
• Traffic law
• Feature detection
• Road traffic management
• Advanced driver assistance systems
• Traffic light
• Global Positioning System
• Histogram of oriented gradients
• Integral Channel Features
• Traffic