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» PicoDBMS: Validation and Experience
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ISNN
2004
Springer
15 years 4 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
ICDAR
2003
IEEE
15 years 4 months ago
Directional Pattern Matching for Character Recognition Revisited
Directional features have been successfully used for the recognition of both machine-printed and handwritten Kanji characters for the last decade. This paper attempts to explain w...
Hiromichi Fujisawa, Cheng-Lin Liu
ICDAR
2003
IEEE
15 years 4 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...
ICARIS
2003
Springer
15 years 4 months ago
A Randomized Real-Valued Negative Selection Algorithm
This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it ...
Fabio A. González, Dipankar Dasgupta, Luis ...
ANSS
2002
IEEE
15 years 4 months ago
A Flow Injection Model Using Cell-DEVS
Cell-DEVS is an extension to the DEVS formalism that allows the definition of cellular models. Complex physical systems can be defined using simple rules, reducing the development...
Alejandro Troccoli, Javier Ameghino, Fernando I&nt...