Margin losses for training conditional random fields

DOI10.1007/s10851-016-0651-yzbMath1386.68124OpenAlexW2341138520MaRDI QIDQ333627

Zohreh Azimifar, Ehsan Ahmadi

Publication date: 31 October 2016

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-016-0651-y

zbMATH Keywords

structural learningconditional random fieldmarginal-based loss

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Cites Work

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• Structured Learning and Prediction in Computer Vision
• An Introduction to Conditional Random Fields
• A New Class of Upper Bounds on the Log Partition Function
• Graphical Models, Exponential Families, and Variational Inference
• Probabilistic Solution of Ill-Posed Problems in Computational Vision
• Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference
• Elicitation of Personal Probabilities and Expectations

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