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Enhancing symbolic image classification through Gaussian copulas and optimized distinguishing points. [PDF]

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Winarni S   +9 more
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Non-Gaussian distributions

Applied Mathematics and Computation, 1999
The paper studies (non-Gaussian) diffusions classified as either ``hypo-diffusion'' or ``hyper-diffusion'', where the \(\beta\) order moments are of the type \(t^{\beta/\alpha}\), with \(\beta\) and \(\alpha\) belonging to \(\mathbb{R}^*_+\). The authors introduce signed measures corresponding to non-Gaussian diffusions on \(\mathbb{R}\), inspired by ...
Michèle Mastrangelo   +2 more
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