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» A Framework for Network Modeling in Prolog
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MLMI
2004
Springer
15 years 9 months ago
Multistream Dynamic Bayesian Network for Meeting Segmentation
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
Alfred Dielmann, Steve Renals
IEICET
2008
121views more  IEICET 2008»
15 years 4 months ago
Multi-Constrained QoS Geographic Routing for Heterogeneous Traffic in Sensor Networks
Sensor nodes report the sensed data packets to the sink and depending on the application these packets may have diverse attributes: time-critical (TC) and non time-critical (NTC). ...
Md. Abdur Razzaque, Muhammad Mahbub Alam, Md. Mamu...
ICMLA
2009
15 years 2 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
ICC
2009
IEEE
190views Communications» more  ICC 2009»
15 years 11 months ago
Decomposition for Low-Complexity Near-Optimal Routing in Multi-Hop Wireless Networks
Abstract—Network flow models serve as a popular mathematical framework for the analysis and optimization of Multi-hop Wireless Networks. They also serve to provide the understan...
Vinay Kolar, Nael B. Abu-Ghazaleh, Petri Mäh&...
FUIN
2008
103views more  FUIN 2008»
15 years 4 months ago
Implementing Sorting Networks with Spiking Neural P Systems
Spiking neural P systems simulate the behavior of neurons sending signals through axons. Recently, some applications concerning Boolean circuits and sorting algorithms have been pr...
Rodica Ceterchi, Alexandru Ioan Tomescu