Zobrazeno 1 - 10
of 3 743
pro vyhledávání: '"A. Conci"'
Autor:
Stefani, Antonio Luigi, Bisagno, Niccolò, Rosani, Andrea, Conci, Nicola, De Natale, Francesco
Haptic feedback has been integrated into Virtual and Augmented Reality, complementing acoustic and visual information and contributing to an all-round immersive experience in multiple fields, spanning from the medical domain to entertainment and gami
Externí odkaz:
http://arxiv.org/abs/2409.20142
Autor:
Govindarajan, Shrisudhan, Sambugaro, Zeno, Akhmedkhan, Shabanov, Takikawa, Towaki, Rebain, Daniel, Sun, Weiwei, Conci, Nicola, Yi, Kwang Moo, Tagliasacchi, Andrea
We present Lagrangian Hashing, a representation for neural fields combining the characteristics of fast training NeRF methods that rely on Eulerian grids (i.e.~InstantNGP), with those that employ points equipped with features as a way to represent in
Externí odkaz:
http://arxiv.org/abs/2409.05334
Simulation is a powerful tool to easily generate annotated data, and a highly desirable feature, especially in those domains where learning models need large training datasets. Machine learning and deep learning solutions, have proven to be extremely
Externí odkaz:
http://arxiv.org/abs/2312.02613
Autor:
Garau, Nicola, Conci, Nicola
The task of human pose estimation (HPE) deals with the ill-posed problem of estimating the 3D position of human joints directly from images and videos. In recent literature, most of the works tackle the problem mostly by using convolutional neural ne
Externí odkaz:
http://arxiv.org/abs/2302.06194
Publikováno v:
Cuadernos de la ALFAL, Vol 16, Iss 2 (2024)
Este estudo investiga a relação entre anáfora e antecedente em frases com estereótipos de gênero, utilizando leitura automonitorada. Analisamos frases como: (i) “João viu Maria enquanto ela/ele vestia a saia”, (ii) “Maria viu João enquan
Externí odkaz:
https://doaj.org/article/82ab1c3d90324f0883e32ea4ad1d3055
Autor:
Paolo Ritter, Stefania Oliveto, Chiara Cordiglieri, Alessandra Fasciani, Christian Andrea Di Buduo, Lucrezia della Volpe, Alberto Bocconi, Claudio Conci, Carolina Paula Miguel, Raffaella Di Micco, Alessandra Balduini, Manuela Teresa Raimondi, Stefano Biffo
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
Long-term culture of primary lymphocytes and hematopoietic stem and progenitor cells (HSPCs) is pivotal to their expansion and study. Furthermore, genetic engineering of the above-mentioned primary human cells has several safety needs, including the
Externí odkaz:
https://doaj.org/article/fbb1b54cf71244f7bd26fbbeaf6a7fce
Publikováno v:
Computers in Biology and Medicine, Volume 89, 2017, Pages 520-529, ISSN 0010-4825
We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in computed tomography images using regression algorithms. The obtained results indicate that it is feasible to predict these fats with a high degree of correlatio
Externí odkaz:
http://arxiv.org/abs/2208.14374
Publikováno v:
MEDINFO 2015: eHealth-enabled Health
The quantification of fat depots on the surroundings of the heart is an accurate procedure for evaluating health risk factors correlated with several diseases. However, this type of evaluation is not widely employed in clinical practice due to the re
Externí odkaz:
http://arxiv.org/abs/2208.14352
Publikováno v:
IWSSIP 2014 Proceedings
This paper examines the potential contribution of infrared (IR) imaging in breast diseases detection. It compares obtained results using some algorithms for detection of malignant breast conditions such as Support Vector Machine (SVM) regarding the c
Externí odkaz:
http://arxiv.org/abs/2208.14410
Publikováno v:
Pattern Recognition, Volume 66, 2017, Pages 392-403, ISSN 0031-3203
This work proposes a clusterization algorithm called k-Morphological Sets (k-MS), based on morphological reconstruction and heuristics. k-MS is faster than the CPU-parallel k-Means in worst case scenarios and produces enhanced visualizations of the d
Externí odkaz:
http://arxiv.org/abs/2208.14390