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159
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AIA
2006
15 years 5 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
162
Voted
ECAI
2010
Springer
15 years 4 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
142
Voted
ASC
2004
15 years 3 months ago
Clustering terms in the Bayesian network retrieval model: a new approach with two term-layers
The retrieval performance of an information retrieval system usually increases when it uses the relationships among the terms contained in a given document collection. However, th...
Luis M. de Campos, Juan M. Fernández-Luna, ...
119
Voted
BIOWIRE
2007
Springer
15 years 10 months ago
User-Centric Mobility Models for Opportunistic Networking
Abstract. In this chapter we survey the most recent proposals for modelling user mobility in mobile pervasive networks, and specifically in opportunistic networks. We identify two...
Chiara Boldrini, Marco Conti, Andrea Passarella
132
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IPPS
2007
IEEE
15 years 10 months ago
Security Threat Prediction in a Local Area Network Using Statistical Model
In today’s large and complex network scenario vulnerability scanners play a major role from security perspective by proactively identifying the known security problems or vulner...
Somak Bhattacharya, S. K. Ghosh