Fast structured prediction using large margin sigmoid belief networks

DOI10.1007/s11263-011-0423-5zbMath1254.68213OpenAlexW2068176821MaRDI QIDQ1931609

Rajesh P. N. Rao, Xu Miao

Publication date: 15 January 2013

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-011-0423-5

zbMATH Keywords

probabilistic graphical modelsstructured predictionexact and approximate inference

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Machine vision and scene understanding (68T45) Graphical methods in statistics (62A09)

Uses Software

• MULAN
• Pegasos
• TagProp
• LabelMe

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Pegasos: primal estimated sub-gradient solver for SVM
• Image annotation via graph learning
• Connectionist learning of belief networks
• Statistical behavior and consistency of classification methods based on convex risk minimization.
• Search-based structured prediction
• Cutting-plane training of structural SVMs
• A differential approach to inference in Bayesian networks
• A New Class of Upper Bounds on the Log Partition Function
• MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming
• Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms
• 10.1162/153244303321897690

This page was built for publication: Fast structured prediction using large margin sigmoid belief networks