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DAS
2010
Springer
13 years 8 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
ERCIMDL
2001
Springer
131views Education» more  ERCIMDL 2001»
14 years 2 months ago
An On-Line Document Clustering Method Based on Forgetting Factors
Abstract. With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. Clust...
Yoshiharu Ishikawa, Yibing Chen, Hiroyuki Kitagawa
ICDAR
2003
IEEE
14 years 3 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
14 years 11 months ago
Streaming-Data Algorithms for High-Quality Clustering
Streaming data analysis has recently attracted attention in numerous applications including telephone records, web documents and clickstreams. For such analysis, single-pass algor...
Liadan O'Callaghan, Adam Meyerson, Rajeev Motwani,...
AIPRF
2008
13 years 11 months ago
A Coherent and Heterogeneous Approach to Clustering
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...
Arian Maleki, Nima Asgharbeygi