Results 11 to 20 of about 6,852,344 (341)

Image segmentation based on adaptive K-means algorithm

EURASIP Journal on Image and Video Processing, 2018
Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng, Qinyi Lei, Run Yao, Yifei Gong, Qian Yin   +4 more
doaj   +1 more source

Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data

Scientific Reports, 2022
With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable reproducible development of diagnostic algorithms in the medical domain.
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier   +5 more
doaj   +1 more source

Context reinstatement in recognition: memory and beyond [PDF]

, 2014
Context effects in recognition tests are twofold. First, presenting familiar contexts at a test leads to an attribution of context familiarity to a recognition probe, which has been dubbed ‘context-dependent recognition’.
Bancroft, Bodner, Bulevich, Busey, Clark, Dando, Dodson, Eich, Eich, Evans, Fisher, Geiselman, Godden, Gruppuso, Gruppuso, Hanczakowski, Hanczakowski, Higham, Higham, Higham, Hockley, Hockley, Hockley, Jaeger, Jou, Katarzyna Zawadzka, Kerr, Koriat, Koriat, Koriat, Laura Coote, Maciej Hanczakowski, Macken, Mickes, Milne, Mueller, Murnane, Murnane, Murnane, Murnane, Reder, Reinitz, Reinitz, Smith, Smith, Smith, Sporer, Tibon, Watkins, Winograd   +49 more
core   +2 more sources

FFA-GAN: A Generative Adversarial Network Based on Feature Fusion Attention for Intelligent Safety Monitoring

Advances in Multimedia, 2023
With the rapid development of the national power grid, there is an increasing and strict demand for accurate intelligent management. However, the current detection algorithms have limited abilities under adverse conditions, especially in regions like ...
R. Chang, B. Zhang, Y. Zhang, S. Gao, S. Zhao, Y. Rao, X. Zhai, T. Wang, Y. Yang   +8 more
doaj   +1 more source

Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires

Sensors, 2021
Motor imagery (MI) promotes motor learning and encourages brain–computer interface systems that entail electroencephalogram (EEG) decoding. However, a long period of training is required to master brain rhythms’ self-regulation, resulting in users with ...
Diego Fabian Collazos-Huertas, Luisa Fernanda Velasquez-Martinez, Hernan Dario Perez-Nastar, Andres Marino Alvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

Continuous Action Recognition Based on Sequence Alignment [PDF]

, 2014
Continuous action recognition is more challenging than isolated recognition because classification and segmentation must be simultaneously carried out.
Cech, Jan, Evangelidis, Georgios, Horaud, Radu, Kulkarni, Kaustubh   +3 more
core   +4 more sources

Deep learning for terahertz image denoising in nondestructive historical document analysis

Scientific Reports, 2022
Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta, Konstantin Root, Ingrid Ullmann, Fabian Wagner, Martin Mayr, Mathias Seuret, Mareike Thies, Daniel Stromer, Vincent Christlein, Jan Schür, Andreas Maier, Yixing Huang   +11 more
doaj   +1 more source

Damage to Association Fiber Tracts Impairs Recognition of the Facial Expression of Emotion [PDF]

, 2009
An array of cortical and subcortical structures have been implicated in the recognition of emotion from facial expressions. It remains unknown how these regions communicate as parts of a system to achieve recognition, but white matter tracts are likely ...
Adolphs, Ralph, Grabowski, Thomas, Mehta, Sonya, Philippi, Carissa L., Rudrauf, David   +4 more
core   +1 more source

Object Recognition: Complexity of Recognition Strategies [PDF]

Current Biology, 2018
Primate brains and state-of-the-art convolutional neural networks can recognize many faces, objects and scenes, though how they do so is often mysterious. New research unveils some of the mystery, revealing unexpected complexity in the recognition strategies of rodents.
openaire   +3 more sources

EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control

Scientific Reports, 2021
In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation. However, keeping track of these annotations to ensure a high-quality multi-purpose data set is a challenging and ...
Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jennifer Maier, Christian Bergler, Christine Kröger, Jörn Voigt, Katharina Breininger, Robert Klopfleisch, Andreas Maier   +9 more
doaj   +1 more source