Zobrazeno 1 - 10
of 2 610
pro vyhledávání: '"HERNANDEZ DIAZ A"'
We apply pre-trained architectures, originally developed for the ImageNet Large Scale Visual Recognition Challenge, for periocular recognition. These architectures have demonstrated significant success in various computer vision tasks beyond the ones
Externí odkaz:
http://arxiv.org/abs/2407.19472
Autor:
Alonso-Fernandez, Fernando, Hernandez-Diaz, Kevin, Rubio, Jose Maria Buades, Tiwari, Prayag, Bigun, Josef
The widespread use of mobile devices for all kind of transactions makes necessary reliable and real-time identity authentication, leading to the adoption of face recognition (FR) via the cameras embedded in such devices. Progress of deep Convolutiona
Externí odkaz:
http://arxiv.org/abs/2405.18302
Our study provides evidence that CNNs struggle to effectively extract orientation features. We show that the use of Complex Structure Tensor, which contains compact orientation features with certainties, as input to CNNs consistently improves identif
Externí odkaz:
http://arxiv.org/abs/2404.15608
Autor:
Alonso-Fernandez, Fernando, Hernandez-Diaz, Kevin, Buades, Jose M., Tiwari, Prayag, Bigun, Josef
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting. LIME was initially proposed for networks with the same output classes used for training, and
Externí odkaz:
http://arxiv.org/abs/2307.13428
The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication. In this context, facial recognition technologies have emerged as a dependable method for verifying users due to the
Externí odkaz:
http://arxiv.org/abs/2307.10697
One weakness of machine-learning algorithms is the need to train the models for a new task. This presents a specific challenge for biometric recognition due to the dynamic nature of databases and, in some instances, the reliance on subject collaborat
Externí odkaz:
http://arxiv.org/abs/2307.05128
Autor:
Karlsson, Jonathan, Strand, Fredrik, Bigun, Josef, Alonso-Fernandez, Fernando, Hernandez-Diaz, Kevin, Nilsson, Felix
Workplace injuries are common in today's society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to improve working conditions. The goal is thus to develop a system that wil
Externí odkaz:
http://arxiv.org/abs/2212.04794
Autor:
Baaz, August, Yonan, Yonan, Hernandez-Diaz, Kevin, Alonso-Fernandez, Fernando, Nilsson, Felix
One of the biggest challenges in machine learning is data collection. Training data is an important part since it determines how the model will behave. In object classification, capturing a large number of images per object and in different condition
Externí odkaz:
http://arxiv.org/abs/2212.04790
Fires have destructive power when they break out and affect their surroundings on a devastatingly large scale. The best way to minimize their damage is to detect the fire as quickly as possible before it has a chance to grow. Accordingly, this work l
Externí odkaz:
http://arxiv.org/abs/2212.04786
Autor:
Courtney M. Edwards, Jeremy F. Kane, Jailyn A. Smith, Déja M. Grant, Jasmine A. Johnson, Maria A. Hernandez Diaz, Lawrence A. Vecchi, Kai M. Bracey, Tolu N. Omokehinde, Joseph R. Fontana, Breelyn A. Karno, Halee T. Scott, Carolina J. Vogel, Jonathan W. Lowery, T. John Martin, Rachelle W. Johnson
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-17 (2024)
Abstract The role of parathyroid hormone (PTH)-related protein (PTHrP) in breast cancer remains controversial, with reports of PTHrP inhibiting or promoting primary tumor growth in preclinical studies. Here, we provide insight into these conflicting
Externí odkaz:
https://doaj.org/article/560f178405a849319bc2c5abf65d3d90