Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Krzysztof Slot"'
Publikováno v:
Sensors, Vol 18, Iss 1, p 178 (2018)
This paper presents a vision sensor-based solution to the challenging problem of detecting and following trails in highly unstructured natural environments like forests, rural areas and mountains, using a combination of a deep neural network and dyna
Externí odkaz:
https://doaj.org/article/6e276d9ad93846e2bdbf63d112a54105
Publikováno v:
Neurocomputing. 321:28-35
A hybrid learning algorithm suitable for hardware implementation of multi-layer neural networks is proposed. Though backpropagation is a powerful learning method for multilayer neural networks, its hardware implementation is difficult due to complexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e948d719fa9055f4c3794aaa1479859c
https://doi.org/10.1016/j.neucom.2018.08.034
https://doi.org/10.1016/j.neucom.2018.08.034
Publikováno v:
IJCNN
The presented paper proposes a method that enables image object appearance editing by modifying its appearance-related high-level attributes. First, attribute-related features get extracted from a latent representation of an image generator and then,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5942c9e335786338597f7ab73e6e96ec
https://doi.org/10.1109/ijcnn48605.2020.9207097
https://doi.org/10.1109/ijcnn48605.2020.9207097
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 1; Pages: 178
Sensors, Vol 18, Iss 1, p 178 (2018)
Sensors; Volume 18; Issue 1; Pages: 178
Sensors, Vol 18, Iss 1, p 178 (2018)
This paper presents a vision sensor-based solution to the challenging problem of detecting and following trails in highly unstructured natural environments like forests, rural areas and mountains, using a combination of a deep neural network and dyna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b190a36c316fb2079dc4923dbe59edaa
https://doi.org/10.3390/s18010178
https://doi.org/10.3390/s18010178
Publikováno v:
FedCSIS
The following paper presents a simple and fast liveness detection method based on gaze direction estimation under a challenge-response user authentication scenario. To estimate a line of sight, a procedure composed of several steps, including face an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beed23c613c825c27e7c08b0c9661ee4
https://doi.org/10.15439/2015f307
https://doi.org/10.15439/2015f307
Publikováno v:
CYBCONF
The following paper proposes a set of novel feature selection criteria that can be applied to kernel Principal Component Analysis (kPCA) outcome to derive discriminative feature spaces for complex classification problems, such as biometric recognitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ee1494c000bc1fbfc0c47168f699342
https://doi.org/10.1109/cybconf.2015.7175986
https://doi.org/10.1109/cybconf.2015.7175986
Publikováno v:
International Journal of Bifurcation and Chaos. 16:3655-3668
The following paper introduces an application of Cellular Neural Networks for the generation of predetermined stochastic textures. The key element for the task realization is an appropriate selection of template elements, which should provide a trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59b833547999ec4b4cd37d70e294ceb1
https://doi.org/10.1142/s021812740601704x
https://doi.org/10.1142/s021812740601704x
Autor:
Przemysław Kucharski, Krzysztof Ślot
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10842 (2023)
Background: The present paper proposes a novel approach for detecting the presence of unknown polymorphic patterns in random symbol sequences that also comprise already known polymorphic patterns. Methods: We propose to represent rules that define th
Externí odkaz:
https://doaj.org/article/263ec4ad4af84958b35594fb55c8b504
Publikováno v:
Computer Vision in Robotics and Industrial Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e50eddf111a9431f981f3539249046a6
https://doi.org/10.1142/9789814583725_0009
https://doi.org/10.1142/9789814583725_0009
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 70, Iss 6 (2022)
Abstract. The paper introduces a neuromorphic computational approach for breathing rate monitoring of a single person observed using a Frequency-Modulated Continuous Wave radar. The architecture, aimed at implementation in analog hardware to ensure h
Externí odkaz:
https://doaj.org/article/c15fd3a8ddff47b8b9219d668028d34c