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» The Incidence Propagation Method
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75
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BMVC
2010
14 years 10 months ago
Multi-class Boosting for Early Classification of Sequences
We propose a new boosting algorithm for sequence classification, in particular one that enables early classification of multiple classes. In many practical problems, we would like...
Katsuhiko Ishiguro, Hiroshi Sawada, Hitoshi Sakano
110
Voted
EMNLP
2010
14 years 10 months ago
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
André F. T. Martins, Noah A. Smith, Eric P....
242
Voted
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
14 years 3 months ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn
132
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AAAI
2011
14 years 24 days ago
Dual Decomposition for Marginal Inference
We present a dual decomposition approach to the treereweighted belief propagation objective. Each tree in the tree-reweighted bound yields one subproblem, which can be solved with...
Justin Domke
135
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ASPDAC
2012
ACM
265views Hardware» more  ASPDAC 2012»
13 years 8 months ago
Improving validation coverage metrics to account for limited observability
—In both pre-silicon and post-silicon validation, the detection of design errors requires both stimulus capable of activating the errors and checkers capable of detecting the beh...
Peter Lisherness, Kwang-Ting Cheng