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» Extracting Web Data Using Instance-Based Learning
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WWW
2010
ACM
14 years 5 months ago
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce
The Web abounds with dyadic data that keeps increasing by every single second. Previous work has repeatedly shown the usefulness of extracting the interaction structure inside dya...
Chao Liu, Hung-chih Yang, Jinliang Fan, Li-Wei He,...
CVPR
2012
IEEE
12 years 17 days ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
WWW
2002
ACM
14 years 10 months ago
Learning to map between ontologies on the semantic web
Ontologies play a prominent role on the Semantic Web. They make possible the widespread publication of machine understandable data, opening myriad opportunities for automated info...
AnHai Doan, Jayant Madhavan, Pedro Domingos, Alon ...
GIR
2007
ACM
14 years 2 months ago
Geo-tagging for imprecise regions of different sizes
Extracting geographical information from various web sources is likely to be important for a variety of applications. One such use for this information is to enable the study of v...
Robert Pasley, Paul Clough, Mark Sanderson
FEWS
2007
13 years 11 months ago
Constructing Semantic Campus for Academic Collaboration
: This paper proposes a methodology for constructing Semantic Campus, a Semantic Web application that represents the social network of the academics in the university, King Mongkut...
Natenapa Sriharee, Ravikarn Punnarut