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» Evolving Complex Neural Networks
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GLOBECOM
2006
IEEE
15 years 4 months ago
On the Feasibility of Very Low Complexity Trust Modules Using PKPS Synergies
Abstract— For many evolving application scenarios like ubiquitous and autonomic computing systems, trustworthy computing solutions are essential. However the fact that the autono...
Mahalingam Ramkumar
CEC
2009
IEEE
15 years 4 months ago
Mobile processes, mobile channels and complex dynamic systems
— This paper explores a process-oriented approach to complex systems design, using massive fine-grained concurrency, mobile channels and mobile processes. The complex systems st...
Eric Bonnici, Peter H. Welch
NN
2006
Springer
14 years 10 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
WSOM
2009
Springer
15 years 4 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
ICANN
2009
Springer
15 years 4 months ago
Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval
Abstract. Estimating the degree of similarity between images is a challenging task as the similarity always depends on the context. Because of this context dependency, it seems qui...
Jukka Perkiö, Aapo Hyvärinen