Mohamed Ben Hadj Rhouma

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The eigenvalues of the Dirichlet Laplacian are used to generate three different sets of features for shape recognition and classification in binary images. The generated features are rotation-, translation-, and size-invariant. The features are also shown to be tolerant of noise and boundary deformation. These features are used to classify hand-drawn,(More)
This paper introduces a new scalable approach to clustering based on synchronization of pulse-coupled oscilla-tors. Each data point is represented by an integrate-and-fire oscillator, and the interaction between oscillators is defined according to the relative similarity between the points. The set of oscillators will self-organize into stable phase-locked(More)
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