On learning conditional random fields for stereo
type: Item
instance of: scholarly article
title: On learning conditional random fields for stereo
zbMATH Open document ID: 1254.68280
author: Christopher J. Pal
author: Jerod J. Weinman
author: Lam Tran
author: Daniel Scharstein
published in: International Journal of Computer Vision
publication date: 2013-01-15T00:00:00Z
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6125658
zbMATH Keywords: stereo
zbMATH Keywords: learning
zbMATH Keywords: structured prediction
zbMATH Keywords: approximate inference
MaRDI profile type: Publication
full work available at URL: s11263-010-0385-z
OpenAlex ID: W2127856808
cites work: An introduction to MCMC for machine learning
cites work: Computer Vision - ECCV 2004
cites work: 10.1162/jmlr.2003.3.4-5.993
cites work: Probabilistic Networks and Expert Systems
cites work: An introduction to variational methods for graphical models
cites work: Q4459499
cites work: Q4459498
cites work: Factor graphs and the sum-product algorithm
cites work: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
cites work: Q4459461
cites work: Q3174095
cites work: Tree-based reparameterization framework for analysis of sum-product and related algorithms
cites work: MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming
cites work: Q3093272
cites work: Q4459464
DOI: 10.1007/S11263-010-0385-Z
description: scientific article; zbMATH DE number 6125658