Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Fieguth, P. (Paul)"'
Autor:
Chen, W. (Wei), Liu, Y. (Yu), Wang, W. (Weiping), Bakker, E. M. (Erwin M.), Georgiou, T. (Theodoros), Fieguth, P. (Paul), Liu, L. (Li)
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, particularly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::c338d44e6245db8b19db954fd591d37a
http://urn.fi/urn:nbn:fi-fe2023061555340
http://urn.fi/urn:nbn:fi-fe2023061555340
Autor:
Abdar, M. (Moloud), Pourpanah, F. (Farhad), Hussain, S. (Sadiq), Rezazadegan, D. (Dana), Liu, L. (Li), Ghavamzadeh, M. (Mohammad), Fieguth, P. (Paul), Cao, X. (Xiaochun), Khosravi, A. (Abbas), Acharya, U. R. (U. Rajendra), Makarenkov, V. (Vladimir), Nahavandi, S. (Saeid)
Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes. They have been applied to solve a variety of real-world problems in science and engineering. B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::9617ee124ea733924dc3b09fd6b341d8
http://urn.fi/urn:nbn:fi-fe2021090645179
http://urn.fi/urn:nbn:fi-fe2021090645179
Autor:
Liu, L. (Li), Chen, J. (Jie), Fieguth, P. (Paul), Zhao, G. (Guoying), Chellappa, R. (Rama), Pietikäinen, M. (Matti)
Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in computer vision and pattern recognition which has attracted extensive research attention over several deca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::2375090da71ce7ca07411bf740cc5b60
http://urn.fi/urn:nbn:fi-fe2019060719458
http://urn.fi/urn:nbn:fi-fe2019060719458
Autor:
Liu, L. (Li), Ouyang, W. (Wanli), Wang, X. (Xiaogang), Fieguth, P. (Paul), Chen, J. (Jie), Liu, X. (Xinwang), Pietikäinen, M. (Matti)
Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images. Deep learning techniques have emerged as a powerful strategy f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc5359c727aa7137f3d9c894ef0caf66
http://arxiv.org/abs/1809.02165
http://arxiv.org/abs/1809.02165
Autor:
Liu, L. (Li), Fieguth, P. (Paul), Guo, Y. (Yulan), Wang, X. (Xiaogang), Pietikäinen, M. (Matti)
Local Binary Patterns (LBP) have emerged as one of the most prominent and widely studied local texture descriptors. Truly a large number of LBP variants has been proposed, to the point that it can become overwhelming to grasp their respective strengt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::f0f5b1e8a1d5bd1b47d4b40197f7848c
http://urn.fi/urn:nbn:fi-fe201902256134
http://urn.fi/urn:nbn:fi-fe201902256134