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» Map Labeling and Its Generalizations
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CVPR
2006
IEEE
14 years 9 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
PR
2007
146views more  PR 2007»
13 years 7 months ago
ML-KNN: A lazy learning approach to multi-label learning
Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
Min-Ling Zhang, Zhi-Hua Zhou
ACL
1994
13 years 8 months ago
Priority Union and Generalization in Discourse Grammars
We describe an implementation in Carpenter's typed feature formalism, ALE, of a discourse grammar of the kind proposed by Scha, Polanyi, et al. We examine their method for re...
Claire Grover, Chris Brew, Suresh Manandhar, Marc ...
SEMCO
2009
IEEE
14 years 2 months ago
LexPar: A Freely Available English Paraphrase Lexicon Automatically Extracted from FrameNet
—This is a paper about a new resource, namely an English paraphrase dictionary extracted from the FrameNet lexicon and its example data base. I. THE LEXPAR PARAPHRASE DICTIONARY ...
Bob Coyne, Owen Rambow
BMVC
2010
13 years 5 months ago
Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction
The problems of dense stereo reconstruction and object class segmentation can both be formulated as Conditional Random Field based labelling problems, in which every pixel in the ...
Lubor Ladicky, Paul Sturgess, Christopher Russell,...