Elenco Pubblicazioni - Publications (1557)
STRETCHED-WIRE TECHNIQUES AND MEASUREMENTS FOR THE ALIGNMENT OF A 15GHZ RF-BPM FOR CLIC
Written by SILVIA ZORZETTI
For the Compact LInear Collider (CLIC) project at CERN, maintaining low emittance beams, as they are transported along the two independent 10-20 km long main linacs, is crucial. The beam trajectory therefore has to be…
G. Amato, P. Bolettieri, F. Falchi, L. Vadicamo: “Sistema di riconoscimento delle immagini e mobile app”, Forma Urbis, vol. XXI (1) pp. 22 - 25. E.S.S. Editorial Service System, January 2016.
Written by LUCIA VADICAMO
In this paper, we present a system for visually retrieving ancient inscriptions, developed in the context of the ongoing Europeana network of Ancient Greek and Latin Epigraphy (EAGLE) EU Project. The system allows the user…
G.Amato,F.Falchi,C.Gennaro,L.Vadicamo:“Deep Permutations: Deep Convolutional Neural Networks and Permutation Based Indexing”,9th International Conference on Similiarty Search and Applications (SISAP 2016). Springer International Publishing, Oct 2016
Written by LUCIA VADICAMO
The activation of the Deep Convolutional Neural Networks hidden layers can be successfully used as features, often referred as Deep Features, in generic visual similarity search tasks. Recently scientists have shown that permutation-based methods o…
R. Connor, L. Vadicamo, F. A. Cardillo, F. Rabitti: “Supermetric Search with the Four-Point Proper-ty”, Proceedings of the 9th International Conference on Similiarty Search and Applications (SISAP 2016). Springer International Publishing. Oct 2016
Written by LUCIA VADICAMO
Metric indexing research is concerned with the efficient evaluation of queries in metric spaces. In general, a large space of objects is arranged in such a way that, when a further object is presented as…
G. Amato, F. Falchi, F. Rabitti, and L. Vadicamo: “Combining Fisher Vector and Convolutional Neural Networks for image retrieval”, In Proceedings 7th Italian Information Retrieval Workshop (IIR 2016), CEUR Workshop Proceedings, May 2016
Written by LUCIA VADICAMO
Abstract. Fisher Vector (FV) and deep Convolutional Neural Network (CNN) are two popular approaches for extracting e ective image representations. FV aggregates local information (e.g., SIFT) and have been state-of-the-art before the recent success of…
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- Prof. T. Djenizian, Head of the Flexible Electronics Department Microelectronics, Center of Provence Mines Saint-Étienne, Institut Mines-Télécom, "3D Nano- and Microstructures for Sustainable and Flexible Energy Devices", 9-13 June 2025
- Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
- CORSO POSTICIPATO - TO BE RESCHEDULED - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 12-15 May 2025
- MODIFICA DATE CORSO - Prof. Nicola Tonellotto, University of Pisa – Italy, PhD. Guglielmo Faggioli, Università degli Studi di Padova - Italy, "Privacy Preserving Information Access", 19-23 May 2025
- MODIFICA AULA CORSO Prof. Nicola Tonellotto, University of Pisa – Italy, PhD Federico Siciliano, Sapienza University of Rome – Italy, "Recommender Systems Applications in Industry 5.0", 5-9 May 2025
