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AAAI
2007
13 years 7 months ago
Learning and Inference for Hierarchically Split PCFGs
Treebank parsing can be seen as the search for an optimally reļ¬ned grammar consistent with a coarse training treebank. We describe a method in which a minimal grammar is hierarc...
Slav Petrov, Dan Klein
NIPS
2007
13 years 6 months ago
Fast Variational Inference for Large-scale Internet Diagnosis
Web servers on the Internet need to maintain high reliability, but the cause of intermittent failures of web transactions is non-obvious. We use approximate Bayesian inference to ...
John C. Platt, Emre Kiciman, David A. Maltz
IJCV
2011
163views more  IJCV 2011»
12 years 8 months ago
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniļ...
Simon Setzer
SCALESPACE
2009
Springer
13 years 11 months ago
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation
Multi-class labeling is one of the core problems in image analysis. We show how this combinatorial problem can be approximately solved using tools from convex optimization. We sugg...
Jan Lellmann, Jörg H. Kappes, Jing Yuan, Flor...
CSMR
2004
IEEE
13 years 8 months ago
Using Split Objects for Maintenance and Reengineering Tasks
Language integration is an important issue in the area of software maintenance and reengineering. We describe a novel solution in this area: automatically applied and composed spl...
Uwe Zdun