Fast structured prediction using large margin sigmoid belief networks
type: Item
instance of: scholarly article
title: Fast structured prediction using large margin sigmoid belief networks
zbMATH Open document ID: 1254.68213
author: Xu Miao
author: Rajesh P. N. Rao
published in: International Journal of Computer Vision
publication date: 2013-01-15T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 68T30
Mathematics Subject Classification ID: 62A09
zbMATH DE Number: 6125657
zbMATH Keywords: structured prediction
zbMATH Keywords: probabilistic graphical models
zbMATH Keywords: exact and approximate inference
describes a project that uses: MULAN
describes a project that uses: Pegasos
describes a project that uses: TagProp
describes a project that uses: LabelMe
MaRDI profile type: Publication
full work available at URL: s11263-011-0423-5
OpenAlex ID: W2068176821
cites work: 10.1162/153244303321897690
cites work: Q3096171
cites work: A differential approach to inference in Bayesian networks
cites work: Search-based structured prediction
cites work: Q4459352
cites work: Cutting-plane training of structural SVMs
cites work: Q4459498
cites work: Image annotation via graph learning
cites work: Connectionist learning of belief networks
cites work: Pegasos: primal estimated sub-gradient solver for SVM
cites work: Q4386952
cites work: Q3093306
cites work: A New Class of Upper Bounds on the Log Partition Function
cites work: MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming
cites work: Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms
cites work: Statistical behavior and consistency of classification methods based on convex risk minimization.
DOI: 10.1007/S11263-011-0423-5
description: scientific article; zbMATH DE number 6125657