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A new hardware implementation of the triangular neighborhood function (TF) for ultra-low power, self-organizing maps (SOM) is presented. Simulations carried out in the software model of this network show that even for low signal resolutions (3-6 bits) perf ...
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated with the signal of interest. The acquired data is then wirelessly transmitted ...
Institute of Electrical and Electronics Engineers2008
The temporal dynamics of hydrological model performance gives insights into errors that cannot be obtained from global performance measures assigning a single number to the fit of a simulated time series to an observed reference series. These errors can in ...
Clustering similar documents is a difficult task for text data mining. Difficulties stem especially from the way documents are translated into numerical vectors. In this chapter, we will present a method that uses Self Organizing Map (SOM) to cluster medic ...
This paper investigates the neural mechanisms of visuo-motor imitation in humans through convergent evidence from neuroscience. In particular, we consider a deficit in imitation following callosal brain lesion, based on the rational that looking at how imi ...
We discuss adaptive sparse grid algorithms for stochastic differential equations with a particular focus on applications to electromagnetic scattering by structures with holes of uncertain size, location, and quantity. Stochastic collocation (SC) methods a ...
In this paper, we present a method for determining motorway traffic regimes where the sensitivity of motorway crash risk indicators could be better understood. Motorway crashes are usually severe. If the crash risk could be monitored, it would be possible ...
La sécurité routière prend de plus en plus d’importance dans de nombreux pays. En mettant l'accent sur la prévention des accidents sur les autoroutes, nous proposons une méthodologie pour identifier les risques en utilisant des modèles de régression logist ...
This paper presents the concept of a methodology for identifying in real time risky motorway traffic conditions. This research effort is to automate the extraction of traffic patterns from large data archives using advanced computing techniques. These patt ...
In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in high-dimensional Euclidean spaces. We show that geodesic paths approximations from nearest neighbors Euclidean distances are well-preserved ...
