Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Ciocca, Gianluigi"'
The management of people with long-term or chronic illness is one of the biggest challenges for national health systems. In fact, these diseases are among the leading causes of hospitalization, especially for the elderly, and huge amount of resources
Externí odkaz:
http://arxiv.org/abs/2207.13913
Autor:
Frigerio, Jessica, Campone, Luca, Giustra, Marco Davide, Buzzelli, Marco, Piccoli, Flavio, Galimberti, Andrea, Cannavacciuolo, Ciro, Ouled Larbi, Malika, Colombo, Miriam, Ciocca, Gianluigi, Labra, Massimo
Publikováno v:
In Heliyon 15 June 2024 10(11)
Autor:
Marelli, Davide, Morelli, Luca, Farella, Elisa Mariarosaria, Bianco, Simone, Ciocca, Gianluigi, Remondino, Fabio
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing April 2023 198:84-98
Autor:
Yang, Guang, Aviles-Rivero, Angelica, Fang, Yingying, Feng, Zhenhua, Ciocca, Gianluigi, Hicks, Yulia, Reyes-Aldasoro, Constantino Carlos
Publikováno v:
International Journal of Computer Vision; Sep2024, Vol. 132 Issue 9, p4123-4127, 5p
Publikováno v:
In Expert Systems With Applications 30 December 2021 186
Autor:
Bianco, Simone, Ciocca, Gianluigi
In this paper we consider how to automatically create pleasing photo collages created by placing a set of images on a limited canvas area. The task is formulated as an optimization problem. Differently from existing state-of-the-art approaches, we he
Externí odkaz:
http://arxiv.org/abs/1506.00527
In this paper we propose a strategy for semi-supervised image classification that leverages unsupervised representation learning and co-training. The strategy, that is called CURL from Co-trained Unsupervised Representation Learning, iteratively buil
Externí odkaz:
http://arxiv.org/abs/1505.08098
Publikováno v:
Proceedings of the 19th International Conference in Image Analysis and Processing - ICIAP 2017, volume 10484 of Lecture Notes in Computer Science, pp. 96-107, Springer, 2017
Given the existence of many change detection algorithms, each with its own peculiarities and strengths, we propose a combination strategy, that we termed IUTIS (In Unity There Is Strength), based on a genetic Programming framework. This combination s
Externí odkaz:
http://arxiv.org/abs/1505.02921
The annotation of image and video data of large datasets is a fundamental task in multimedia information retrieval and computer vision applications. In order to support the users during the image and video annotation process, several software tools h
Externí odkaz:
http://arxiv.org/abs/1502.05212
Publikováno v:
In Information Fusion May 2020 57:89-101