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» Classification of Web Documents Using a Graph Model
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COLING
2010
14 years 9 months ago
Extracting and Ranking Product Features in Opinion Documents
An important task of opinion mining is to extract people's opinions on features of an entity. For example, the sentence, "I love the GPS function of Motorola Droid"...
Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-...
ICDE
2008
IEEE
218views Database» more  ICDE 2008»
16 years 3 months ago
AxPRE Summaries: Exploring the (Semi-)Structure of XML Web Collections
The nature of semistructured data in web collections is evolving. Increasingly, XML web documents (or documents exchanged via web services) are valid with regard to a schema, yet ...
Mariano P. Consens, Flavio Rizzolo, Alejandro A. V...
128
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ICDAR
2007
IEEE
15 years 8 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
ICPR
2006
IEEE
16 years 3 months ago
Efficient Search and Verification for Function Based Classification from Real Range Images
In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified usi...
Ehud Rivlin, Ilan Shimshoni, Octavian Soldea
ICML
2003
IEEE
16 years 3 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