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» Multi-polarity text segmentation using graph theory
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101
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WWW
2006
ACM
16 years 1 months ago
Using graph matching techniques to wrap data from PDF documents
Wrapping is the process of navigating a data source, semiautomatically extracting data and transforming it into a form suitable for data processing applications. There are current...
Tamir Hassan, Robert Baumgartner
164
Voted
ICML
2003
IEEE
16 years 1 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
86
Voted
LREC
2008
174views Education» more  LREC 2008»
15 years 1 months ago
Automatic Phoneme Segmentation with Relaxed Textual Constraints
Speech synthesis by unit selection requires the segmentation of a large single speaker high quality recording. Automatic speech recognition techniques, e.g. Hidden Markov Models (...
Pierre Lanchantin, Andrew C. Morris, Xavier Rodet,...
110
Voted
ICPR
2002
IEEE
16 years 1 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
CVIU
2007
125views more  CVIU 2007»
15 years 10 days ago
Graph regularization for color image processing
Nowadays color image processing is an essential issue in computer vision. Variational formulations provide a framework for color image restoration, smoothing and segmentation prob...
Olivier Lezoray, Abderrahim Elmoataz, Sébas...