Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Diego Rafael Lucio"'
Autor:
Matej Vitek, Abhijit Das, Diego Rafael Lucio, Luiz Antonio Zanlorensi, David Menotti, Jalil Nourmohammadi Khiarak, Mohsen Akbari Shahpar, Meysam Asgari-Chenaghlu, Farhang Jaryani, Juan E. Tapia, Andres Valenzuela, Caiyong Wang, Yunlong Wang, Zhaofeng He, Zhenan Sun, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Kiran Raja, Gourav Gupta, Georgios Zampoukis, Lazaros Tsochatzidis, Ioannis Pratikakis, S. V. Aruna Kumar, B. S. Harish, Umapada Pal, Peter Peer, Vitomir Struc
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:190-205
Bias and fairness of biometric algorithms have been key topics of research in recent years, mainly due to the societal, legal and ethical implications of potentially unfair decisions made by automated decision-making models. A considerable amount of
Publikováno v:
Pattern Recognition Letters. 88:49-56
Coupling texture descriptors and acoustic features.Different methods for representing an audio as an image are compared.Heterogeneous ensemble of different classifiers improves performance. Display Omitted In this paper a novel and effective approach
Publikováno v:
SCCC
This paper deals with the bird song automatic segmentation aiming to use the signal in bird species identification problem. The rationale behind it is that by automatically finding the pulses which better characterizes the bird vocalization, one can
Autor:
Yandre M. G. Costa, Diego Rafael Lucio
Publikováno v:
SCCC
This work aims to present a system for automatic bird species classification based on acoustic and visual features extracted from the birdsong. The visual features are extracted from spectrogram images generated from the birdsong audio, while the aco
Publikováno v:
ICTAI
In this paper a novel approach for automatic bird species classification is described. The proposed strategy is based on features taken from the textural content of spectrogram images of bird vocalizations. We show how several texture descriptors can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e3d0601fab1b61bc97126b0d089e2d3
http://hdl.handle.net/11577/3219634
http://hdl.handle.net/11577/3219634
Publikováno v:
CLEI
This paper describes a system for automatic bird species classification based on features taken from the textural content of spectrogram images. The texture features are extracted using three of the most common texture operators described in the Digi