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FTCGV
2011
122views more  FTCGV 2011»
14 years 3 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
ICMT
2011
Springer
14 years 3 months ago
Toward Bidirectionalization of ATL with GRoundTram
ATL is a language for describing model transformations currently in uni-direction. In our previous work we have shown that transformations of graph structures given in some form ca...
Isao Sasano, Zhenjiang Hu, Soichiro Hidaka, Kazuhi...
NAR
2011
188views Computer Vision» more  NAR 2011»
14 years 2 months ago
The Gene Expression Barcode: leveraging public data repositories to begin cataloging the human and murine transcriptomes
Various databases have harnessed the wealth of publicly available microarray data to address biological questions ranging from across-tissue differential expression to homologous ...
Matthew N. McCall, Karan Uppal, Harris A. Jaffee, ...
SIAMREV
2011
63views more  SIAMREV 2011»
14 years 2 months ago
Discrete Symbol Calculus
This paper deals with efficient numerical representation and manipulation of differential and integral operators as symbols in phase-space, i.e., functions of space x and frequen...
Laurent Demanet, Lexing Ying
ICCV
2011
IEEE
13 years 12 months ago
Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
Steven Branson, Pietro Perona, Serge Belongie
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