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» Learning Dissimilarities for Categorical Symbols
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SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
13 years 6 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
TSMC
2011
292views more  TSMC 2011»
12 years 11 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
SAC
2003
ACM
13 years 10 months ago
Multiclass Text Categorization for Automated Survey Coding
Survey coding is the task of assigning a symbolic code from a predefined set of such codes to the answer given in response to an open-ended question in a questionnaire (aka surve...
Daniela Giorgetti, Fabrizio Sebastiani
ISMIS
2009
Springer
13 years 11 months ago
Fuzzy Clustering for Categorical Spaces
Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ICPR
2006
IEEE
14 years 6 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin