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» Structured Learning and Prediction in Computer Vision
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CVPR
2008
IEEE
14 years 2 months ago
Scene understanding with discriminative structured prediction
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Jinhui Yuan, Jianmin Li, Bo Zhang
ICPR
2008
IEEE
14 years 9 months ago
A matrix alignment approach for link prediction
This paper introduces a new discriminative learning technique for link prediction based on the matrix alignment approach. Our algorithm automatically determines the most predictiv...
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-...
CVPR
2009
IEEE
15 years 3 months ago
Shape Classification Through Structured Learning of Matching Measures
Many traditional methods for shape classification involve establishing point correspondences between shapes to produce matching scores, which are in turn used as similarity meas...
Longbin Chen, Julian John McAuley, Rogério ...
ECCV
2008
Springer
14 years 9 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
15 years 1 days ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu