Maria-Irina Nicolae

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The problem of equalization for complex signals is presented. A competitive method is proposed for the estimation of the centers of a complex radial basis function neural network. Simulation results are presented from the point of view of mean square error and signal space partition. Concluding remarks and further developments are discussed.
Multivariate time series naturally exist in many fields, like energy, bioinformatics, signal processing, and finance. Most of these applications need to be able to compare these structured data. In this context, dynamic time warping (DTW) is probably the most common comparison measure. However, not much research effort has been put into improving it by(More)
The importance of metrics in machine learning has attracted a growing interest for distance and similarity learning, and especially the Mahalanobis distance. However , it is worth noting that this research field lacks theoretical guarantees that can be expected on the generalization capacity of the classifier associated to a learned metric. The theoretical(More)
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