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» A Semi-Supervised Document Clustering Algorithm Based on EM
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IVC
2002
192views more  IVC 2002»
15 years 1 months ago
Understanding visual behaviour
Modelling events is one of the key problems in dynamic scene analysis when salient and autonomous visual changes occuring in a scene need to be characterised effectively as meanin...
Shaogang Gong, Hilary Buxton
PAMI
2008
179views more  PAMI 2008»
15 years 1 months ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos
WEBDB
2007
Springer
162views Database» more  WEBDB 2007»
15 years 7 months ago
Term Ranking for Clustering Web Search Results
Clustering web search engine results for ambiguous keyword searches poses unique challenges. First, we show that one cannot readily import the frequency based feature ranking to c...
Fatih Gelgi, Hasan Davulcu, Srinivas Vadrevu
HT
2005
ACM
15 years 7 months ago
As we may perceive: inferring logical documents from hypertext
In recent years, many algorithms for the Web have been developed that work with information units distinct from individual web pages. These include segments of web pages or aggreg...
Pavel Dmitriev, Carl Lagoze, Boris Suchkov
FLAIRS
2007
15 years 4 months ago
Contextual Concept Discovery Algorithm
In this paper, we focus on the ontological concept extraction and evaluation process from HTML documents. In order to improve this process, we propose an unsupervised hierarchical...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...