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» Deformable structural models
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195
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FTCGV
2011
122views more  FTCGV 2011»
14 years 9 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
167
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LOGCOM
2007
126views more  LOGCOM 2007»
15 years 6 months ago
Causality and Counterfactuals in the Situation Calculus
Structural causal models offer a popular framework for exploring causal concepts. However, due to their limited expressiveness, structural models have difficulties coping with su...
Mark Hopkins, Judea Pearl
152
Voted
AAAI
2000
15 years 7 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum
MICCAI
2009
Springer
16 years 7 months ago
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation
Abstract. We consider a general modelling strategy to handle in a unified way a number of tasks essential to MR brain scan analysis. Our approach is based on the explicit definitio...
Benoit Scherrer, Florence Forbes, Michel Dojat
ECIR
2009
Springer
16 years 3 months ago
Representing User Navigation in XML Retrieval with Structural Summaries
Abstract. This poster presents a novel way to represent user navigation in XML retrieval using collection statistics from XML summaries. Currently, developing user navigation model...
Mir Sadek Ali, Mariano P. Consens, Birger Larsen