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122
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LION
2009
Springer
129views Optimization» more  LION 2009»
15 years 10 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
133
Voted
MIRAGE
2009
Springer
15 years 10 months ago
A Bag of Words Approach for 3D Object Categorization
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introd...
Roberto Toldo, Umberto Castellani, Andrea Fusiello
148
Voted
IAT
2008
IEEE
15 years 10 months ago
An Ontology-Based Approach to Text Summarization
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
Leonhard Hennig, Winfried Umbrath, Robert Wetzker
111
Voted
ICALT
2008
IEEE
15 years 10 months ago
Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles
When using Learning Object Repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to...
Cristina Carmona, Gladys Castillo, Eva Millá...
109
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Density geodesics for similarity clustering
We address the problem of similarity metric selection in pairwise affinity clustering. Traditional techniques employ standard algebraic context-independent sample-distance measur...
Umut Ozertem, Deniz Erdogmus, Miguel Á. Car...