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143
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ICPR
2010
IEEE
15 years 8 months ago
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
Francesco Ciompi, Oriol Pujol, Petia Radeva
98
Voted
MICCAI
2009
Springer
16 years 1 days ago
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences
The measure of lumen volume on radial arteries can be used to evaluate the vessel response to different vasodilators. In this paper, we present a framework for automatic lumen segm...
Francesco Ciompi, Oriol Pujol, Eduard Ferná...
109
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Automatic minute generation for parliamentary speech using conditional random fields
We show a novel approach of automatically generating minutes style extractive summaries for parliamentary speech. Minutes are structured summaries consisting of sequences of busin...
Justin Jian Zhang, Pascale Fung, Ricky Ho Yin Chan
132
Voted
ICML
2009
IEEE
16 years 3 months ago
Multi-class image segmentation using conditional random fields and global classification
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
Nils Plath, Marc Toussaint, Shinichi Nakajima
147
Voted
INTERSPEECH
2010
14 years 9 months ago
Efficient combined approach for named entity recognition in spoken language
We focus in this paper on the named entity recognition task in spoken data. The proposed approach investigates the use of various contexts of the words to improve recognition. Exp...
Azeddine Zidouni, Sophie Rosset, Hervé Glot...