Zobrazeno 1 - 10
of 3 895
pro vyhledávání: '"Fornés A"'
Autor:
Méndez, Martín, Torras, Pau, Molina, Adrià, Chen, Jialuo, Ramos-Terrades, Oriol, Fornés, Alicia
Historical ciphered manuscripts are documents that were typically used in sensitive communications within military and diplomatic contexts or among members of secret societies. These secret messages were concealed by inventing a method of writing emp
Externí odkaz:
http://arxiv.org/abs/2410.21913
Autor:
Kang, Lei, Yang, Fei, Wang, Kai, Souibgui, Mohamed Ali, Gomez, Lluis, Fornés, Alicia, Valveny, Ernest, Karatzas, Dimosthenis
Fonts are integral to creative endeavors, design processes, and artistic productions. The appropriate selection of a font can significantly enhance artwork and endow advertisements with a higher level of expressivity. Despite the availability of nume
Externí odkaz:
http://arxiv.org/abs/2408.07259
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR), Volume 27, 2024, pp. 379-393
Modern-day Optical Music Recognition (OMR) is a fairly fragmented field. Most OMR approaches use datasets that are independent and incompatible between each other, making it difficult to both combine them and compare recognition systems built upon th
Externí odkaz:
http://arxiv.org/abs/2312.12908
Autor:
Bensalah, Asma, Parziale, Antonio, De Gregorio, Giuseppe, Marcelli, Angelo, Fornés, Alicia, Lladós
During recent years, there here has been a boom in terms of deep learning use for handwriting analysis and recognition. One main application for handwriting analysis is early detection and diagnosis in the health field. Unfortunately, most real case
Externí odkaz:
http://arxiv.org/abs/2312.05086
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
Autor:
Dhiaf, Marwa, Souibgui, Mohamed Ali, Wang, Kai, Liu, Yuyang, Kessentini, Yousri, Fornés, Alicia, Rouhou, Ahmed Cheikh
Self-supervised learning has recently emerged as a strong alternative in document analysis. These approaches are now capable of learning high-quality image representations and overcoming the limitations of supervised methods, which require a large am
Externí odkaz:
http://arxiv.org/abs/2303.09347
Combining 3D vision with tactile sensing could unlock a greater level of dexterity for robots and improve several manipulation tasks. However, obtaining a close-up 3D view of the location where manipulation contacts occur can be challenging, particul
Externí odkaz:
http://arxiv.org/abs/2303.06542
Assessing the quality of movements for post-stroke patients during the rehabilitation phase is vital given that there is no standard stroke rehabilitation plan for all the patients. In fact, it depends basically on the patient's functional independen
Externí odkaz:
http://arxiv.org/abs/2212.14797
Autor:
Bensalah, Asma, Chen, Jialuo, Fornés, Alicia, Carmona-Duarte, Cristina, Lladós, Josep, Ferrer, Miguel A.
Assessing the physical condition in rehabilitation scenarios is a challenging problem, since it involves Human Activity Recognition (HAR) and kinematic analysis methods. In addition, the difficulties increase in unconstrained rehabilitation scenarios
Externí odkaz:
http://arxiv.org/abs/2212.05062
Autor:
Fornés, Alicia, Bensalah, Asma, Carmona-Duarte, Cristina, Chen, Jialuo, Ferrer, Miguel A., Fischer, Andreas, Lladós, Josep, Martín, Cristina, Opisso, Eloy, Plamondon, Réjean, Scius-Bertrand, Anna, Tormos, Josep Maria
This project explores the feasibility of remote patient monitoring based on the analysis of 3D movements captured with smartwatches. We base our analysis on the Kinematic Theory of Rapid Human Movement. We have validated our research in a real case s
Externí odkaz:
http://arxiv.org/abs/2212.05063
Autor:
García-Pazo, Patricia1,2 (AUTHOR) patricia.garcia@uib.es, Fornés-Vives, Joana1 (AUTHOR), Abad, Albert Sesé2,3 (AUTHOR), Davis, Suja P. (AUTHOR)
Publikováno v:
Nursing Research & Practice. 9/26/2024, Vol. 2024, p1-14. 14p.
