Difference between revisions of "Paper"

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Learning to Localize Objects with Structured Output Regression
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* Learning to Localize Objects with Structured Output Regression by Matthew B. Blaschko and Christoph H. Lampert
by Matthew B. Blaschko and Christoph H. Lampert
 
 
 
 
http://christoph.lampert.googlepages.com/blaschko-eccv2008.pdf
 
http://christoph.lampert.googlepages.com/blaschko-eccv2008.pdf
  
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* A Discriminatively Trained, Multiscale, Deformable Part Model
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http://people.cs.uchicago.edu/~pff/papers/latent.pdf
  
http://people.cs.uchicago.edu/~pff/papers/
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* Uncovering Shared Structures in Multiclass Classification
A Discriminatively Trained, Multiscale, Deformable Part Model
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http://ttic.uchicago.edu/~nati/Publications/AmitEtAlICML07.pdf
http://people.cs.uchicago.edu/~pff/papers/latent.pdf
 
  
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* Support Vector Machine Learning for Interdependent and Structured Output Spaces
Uncovering Shared Structures in Multiclass Classification
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http://portal.acm.org/ft_gateway.cfm?id=1015341&type=pdf&coll=GUIDE&dl=GUIDE&CFID=16571717&CFTOKEN=10364762
  
http://ttic.uchicago.edu/~nati/Publications/AmitEtAlICML07.pdf
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* Beyond Sliding Windows: Object Localization by Efficient Subwindow Search
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http://www.kyb.mpg.de/publications/pdfs/pdf5070.pdf

Latest revision as of 04:05, 5 January 2009

  • Learning to Localize Objects with Structured Output Regression by Matthew B. Blaschko and Christoph H. Lampert

http://christoph.lampert.googlepages.com/blaschko-eccv2008.pdf

  • A Discriminatively Trained, Multiscale, Deformable Part Model

http://people.cs.uchicago.edu/~pff/papers/latent.pdf

  • Uncovering Shared Structures in Multiclass Classification

http://ttic.uchicago.edu/~nati/Publications/AmitEtAlICML07.pdf

  • Support Vector Machine Learning for Interdependent and Structured Output Spaces

http://portal.acm.org/ft_gateway.cfm?id=1015341&type=pdf&coll=GUIDE&dl=GUIDE&CFID=16571717&CFTOKEN=10364762

  • Beyond Sliding Windows: Object Localization by Efficient Subwindow Search

http://www.kyb.mpg.de/publications/pdfs/pdf5070.pdf