Zobrazeno 1 - 10
of 3 283
pro vyhledávání: '"Martínez Sánchez, P"'
We obtain approximation results for general positive linear operators satisfying mild conditions, when acting on discontinuous functions and absolutely continuous functions having discontinuous derivatives. The upper bounds, given in terms of a local
Externí odkaz:
http://arxiv.org/abs/2410.19893
Publikováno v:
ECCV 2024
Object detection is a main task in computer vision. Template matching is the reference method for detecting objects with arbitrary templates. However, template matching computational complexity depends on the rotation accuracy, being a limiting facto
Externí odkaz:
http://arxiv.org/abs/2408.02398
Causality lies at the heart of scientific inquiry, serving as the fundamental basis for understanding interactions among variables in physical systems. Despite its central role, current methods for causal inference face significant challenges due to
Externí odkaz:
http://arxiv.org/abs/2405.12411
Publikováno v:
Journal of Applied Mathematics and Computing (2024)
Normalized cross-correlation is the reference approach to carry out template matching on images. When it is computed in Fourier space, it can handle efficiently template translations but it cannot do so with template rotations. Including rotations re
Externí odkaz:
http://arxiv.org/abs/2311.07561
Autor:
Jonathan Hopkins, Margaret Currie, Nicholas Schurch, Graciela Martínez-Sánchez, Valentina Farinelli
Publikováno v:
Regional Studies, Regional Science, Vol 11, Iss 1, Pp 324-350 (2024)
ABSTRACTThis article applies a modified perspective of inclusive growth in order to understand the diversity of communities within a remote and predominantly rural region of northern Europe. A transdisciplinary process co-constructed an enhanced and
Externí odkaz:
https://doaj.org/article/b76f0617b16e405a817ad81b36bfc66b
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Causality lies at the heart of scientific inquiry, serving as the fundamental basis for understanding interactions among variables in physical systems. Despite its central role, current methods for causal inference face significant challenge
Externí odkaz:
https://doaj.org/article/5dc9efa797e4498394cb56fdce1bd06c
Autor:
Burlak, Gennadiy, Díaz-de-Anda, A., Malomed, Boris A., Martinez-Sánchez, E., Medina-Ángel, G., Morales-Nava, R., Martínez-Ocampo, J. J., de-Anda-Reyes, M. E., Romero-López, A.
We systematically study the optical field localization in an active three-dimensional (3D) disordered percolating system with light nanoemitters incorporated in percolating clusters. An essential feature of such a hybrid medium is that the clusters a
Externí odkaz:
http://arxiv.org/abs/2306.11857
Autor:
Yordanov, Momchil, d'Andrimont, Raphael, Martinez-Sanchez, Laura, Lemoine, Guido, Fasbender, Dominique, van der Velde, Marijn
Crop classification via deep learning on ground imagery can deliver timely and accurate crop-specific information to various stakeholders. Dedicated ground-based image acquisition exercises can help to collect data in data scarce regions, improve con
Externí odkaz:
http://arxiv.org/abs/2305.04994
Publikováno v:
Anais Brasileiros de Dermatologia, Vol 99, Iss 4, Pp 621-624 (2024)
Externí odkaz:
https://doaj.org/article/9980347d7f874ee981fae507aa1e2659
Autor:
Rabia Rashdi, Iván Garrido, Jesús Balado, Pablo Del Río-Barral, Juan Luis Rodríguez-Somoza, Joaquín Martínez-Sánchez
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
ABSTRACTMobile laser scanners are vital for intelligent transport infrastructure, capturing detailed 3D road representations, but their accuracy depends on factors like sensor positioning and environment. This study compares two van-mounted Mobile La
Externí odkaz:
https://doaj.org/article/9f621d08233744d6bd1ea94dc2b8fa80