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» Unsupervised Learning Using MML
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SWAP
2008
13 years 10 months ago
Combining Statistical Techniques and Lexico-syntactic Patterns for Semantic Relations Extraction from Text
We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexicosyntactic patterns are applied to the...
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...
ACL
2006
13 years 10 months ago
Prototype-Driven Grammar Induction
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...
Aria Haghighi, Dan Klein
MICCAI
2010
Springer
13 years 7 months ago
Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images
Segmentation of surgical devices in fluoroscopic images and in particular of guide-wires is a valuable element during surgery. In cardiac angioplasty, the problem is particularly ...
Nicolas Honnorat, Régis Vaillant, Nikos Par...
AAAI
2012
11 years 11 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
ICCV
2009
IEEE
15 years 1 months ago
Learning Actions From the Web
This paper proposes a generic method for action recognition in uncontrolled videos. The idea is to use images collected from the Web to learn representations of actions and use ...
Nazli Ikizler-Cinbis, R. Gokberk Cinbis, Stan Scla...