GASTALDO , Paolo

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Objective metrics for visual quality assessment usually improve their reliability by explicitly modeling the highly non-linear behavior of human perception; as a result, they often are complex, and computationally expensive. Conversely, Machine Learning (ML) paradigms allow to tackle the quality assessment task from a different perspective, as...

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Objective metrics for visual quality assessment often base their reliability on the explicit modeling of the highly non-linear behavior of human perception; as a result, they may be complex and computationally expensive. Conversely, machine learning (ML) paradigms allow to tackle the quality assessment task from a different perspective, as the...

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The optimal design of digital systems can be complicated by non-linearities that arise from discrete optimization processes, and conventional methods often attain suboptimal results. Quantum computing may be an interesting technology to overcome that issue, but so far its effectiveness has been addressed from a most abstract perspective. This...

Montgomery's algorithm is a popular technique to speed up modular multiplications in public-key cryptosystems. This paper tackles the efficient support of modular exponentiation on inexpensive circuitry for embedded security services and proposes a variant of the finely integrated product scanning (FIPS) algorithm that is targeted to digital...

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The implementation of training algorithms for SVMs on embedded architectures differs significantly from the electronic support of trained SVM systems. This mostly depends on the complexity and the computational intricacies brought about by the optimization process, which implies a Quadratic-Programming prob-lem and usually involves large data...

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