Domenico Maisto

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A software system grounded on Differential Evolution to automatically register multiview and multitemporal images is designed, implemented and tested through a set of 2D satellite images on two problems, i.e. mosaicking and changes in time. Registration is effected by looking for the best affine transformation in terms of maximization of the mutual(More)
In this paper a parallel software system based on Differential Evolution for the registration of images is designed, implemented and tested on a set of 2–D remotely sensed images on two problems, i.e. mosaicking and changes in time. Registration is carried out by finding the most suitable affine transformation in terms of maximization of the mutual(More)
This paper deals with the design and implementation of a parallel software system based on differential evolution for the registration of images, and with its testing on two bidimensional remotely sensed images on mosaicking problem. Registration is carried out by finding the most suitable affine transformation in terms of maximization of the mutual(More)
A Genetic Programming algorithm based on Solomonoff’s probabilistic induction is designed and used to face an Inductive Inference task, i.e., symbolic regression. To this aim, some test functions are dressed with increasing levels of noise and the algorithm is employed to denoise the resulting function and recover the starting functions. Then, the algorithm(More)
In the context of Solomonoff’s Inductive Inference theory, Induction operator plays a key role in modeling and correctly predicting the behavior of a given phenomenon. Unfortunately, this operator is not algorithmically computable. The present paper deals with a Genetic Programming approach to Inductive Inference, with reference to Solomonoff’s algorithmic(More)
How do humans and other animals face novel problems for which predefined solutions are not available? Human problem solving links to flexible reasoning and inference rather than to slow trial-and-error learning. It has received considerable attention since the early days of cognitive science, giving rise to well known cognitive architectures such as SOAR(More)
Domenico Maisto 1, Francesco Donnarumma 2 and Giovanni Pezzulo 2,* 1 Institute for High Performance Computing and Networking, National Research Council, Via Pietro Castellino 111, 80131 Naples, Italy; domenico.maisto@na.icar.cnr.it 2 Institute of Cognitive Sciences and Technologies, National Research Council, Via S. Martino della Battaglia 44, 00185 Rome,(More)
It has long been recognized that humans (and possibly other animals) usually break problems down into smaller and more manageable problems using subgoals. Despite a general consensus that subgoaling helps problem solving, it is still unclear what the mechanisms guiding online subgoal selection are during the solution of novel problems for which predefined(More)
http://dx.doi.org/10.1016/j.ins.2014.03.083 0020-0255/ 2014 Elsevier Inc. All rights reserved. ⇑ Corresponding author. Tel.: +39 089 964255. E-mail addresses: ivanoe.defalco@na.icar.cnr.it (I. De Falco), adellacioppa@unisa.it (A. Della Cioppa), domenico.maisto@na.icar.cnr.it (D. umberto.scafuri@na.icar.cnr.it (U. Scafuri), ernesto.tarantino@na.icar.cnr.it(More)