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» Learning Compositional Categorization Models
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93
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CVPR
2012
IEEE
13 years 2 days ago
Meta-class features for large-scale object categorization on a budget
In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
Alessandro Bergamo, Lorenzo Torresani
69
Voted
SETN
2004
Springer
15 years 3 months ago
Taxonomy-Based Annotation of XML Documents: Application to eLearning Resources
In this paper we propose an automatic mechanism for annotating XML documents. This mechanism relies on a simple data model whose main features are: (1) a modeling of XML documents ...
Birahim Gueye, Philippe Rigaux, Nicolas Spyratos
87
Voted
CIKM
2000
Springer
15 years 2 months ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
73
Voted
AI
2008
Springer
14 years 9 months ago
On the notion of concept I
It is well known that classical set theory is not expressive enough to adequately model categorization and prototype theory. Recent work on compositionality and concept determinat...
Michael Freund
ICANN
2003
Springer
15 years 2 months ago
Dimensionality Reduction through Sensory-Motor Coordination
The problem of category learning has been traditionally investigated by employing disembodied categorization models. One of the basic tenets of embodied cognitive science states th...
I. René J. A. te Boekhorst, Max Lungarella,...