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ESANN
2006
15 years 5 months ago
Visual object classification by sparse convolutional neural networks
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Alexander Gepperth
ESANN
2000
15 years 5 months ago
A neural network architecture for automatic segmentation of fluorescence micrographs
A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
Tim W. Nattkemper, Heiko Wersing, Walter Schubert,...
GLOBECOM
2008
IEEE
15 years 4 months ago
Influence of Node Location Distributions on the Structure of Ad Hoc and Mesh Networks
We study the impact of the distribution of node locations on key properties of wireless networks. In particular, using Monte Carlo simulations we study in detail the behavior of av...
Janne Riihijärvi, Marina Petrova, Petri M&aum...
IJCSA
2006
289views more  IJCSA 2006»
15 years 3 months ago
Cash Forecasting: An Application of Artificial Neural Networks in Finance
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
PremChand Kumar, Ekta Walia
AHSWN
2005
120views more  AHSWN 2005»
15 years 3 months ago
Low-Interference Topology Control for Wireless Ad Hoc Networks
Topology control has been well studied in wireless ad hoc networks. However, only a few topology control methods take into account the low interference as a goal of the methods. So...
Kousha Moaveninejad, Xiang-Yang Li