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» Automatic Discovery of Feature Sets for Dependency Parsing
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ACII
2007
Springer
15 years 1 months ago
Detecting Affect from Non-stylised Body Motions
In this paper we present a novel framework for analysing non-stylised motion in order to detect implicitly communicated affect. Our approach makes use of a segmentation technique w...
Daniel Bernhardt, Peter Robinson
85
Voted
EMNLP
2010
14 years 7 months ago
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
Zhongqiang Huang, Martin Cmejrek, Bowen Zhou
111
Voted
IPMI
2001
Springer
15 years 10 months ago
An Adaptive Level Set Method for Medical Image Segmentation
An efficient adaptive multigrid level set method for front propagation purposes in three dimensional medical image processing and segmentation is presented. It is able to deal with...
Marc Droske, Bernhard Meyer, Martin Rumpf, Carlo S...
129
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Automatic target classification in SAR images using MPCA
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Tristan Porges, Gérard Favier
EMNLP
2011
13 years 9 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez