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» An Evaluation on Feature Selection for Text Clustering
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AAAI
2004
15 years 7 months ago
SenseClusters - Finding Clusters that Represent Word Senses
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervised clustering approach. It uses no knowledge other than what is available in a r...
Amruta Purandare, Ted Pedersen
CVPR
2012
IEEE
13 years 8 months ago
Real-time scene text localization and recognition
An end-to-end real-time scene text localization and recognition method is presented. The real-time performance is achieved by posing the character detection problem as an efficie...
Lukas Neumann, Jiri Matas
CICLING
2007
Springer
16 years 6 days ago
Unsupervised Discrimination of Person Names in Web Contexts
Ambiguous person names are a problem in many forms of written text, including that which is found on the Web. In this paper we explore the use of unsupervised clustering techniques...
Ted Pedersen, Anagha Kulkarni
TREC
2004
15 years 7 months ago
Experience of Using SVM for the Triage Task in TREC 2004 Genomics Track
This paper reports our knowledge-ignorant machine learning approach to the triage task in TREC2004 genomics track, which is actually a text categorization problem. We applied Supp...
Dell Zhang, Wee Sun Lee
ECML
2006
Springer
15 years 9 months ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham