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» A flocking based algorithm for document clustering analysis
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ICDAR
2009
IEEE
13 years 6 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara
ESWS
2008
Springer
13 years 10 months ago
Instance Based Clustering of Semantic Web Resources
Abstract. The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue t...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
KDD
2009
ACM
200views Data Mining» more  KDD 2009»
14 years 3 months ago
Visual analysis of documents with semantic graphs
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Gr...
CIKM
2011
Springer
12 years 8 months ago
Supervised language modeling for temporal resolution of texts
We investigate temporal resolution of documents, such as determining the date of publication of a story based on its text. We describe and evaluate a model that build histograms e...
Abhimanu Kumar, Matthew Lease, Jason Baldridge
NIPS
2007
13 years 9 months ago
Bayesian Agglomerative Clustering with Coalescents
We introduce a new Bayesian model for hierarchical clustering based on a prior over trees called Kingman’s coalescent. We develop novel greedy and sequential Monte Carlo inferen...
Yee Whye Teh, Hal Daumé III, Daniel M. Roy