ELCVIA

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ELCVIA	Encontrados 3 registros	La búsqueda tardó 0.00 segundos.

16 p, 1.3 MB

MMKK++ algorithm for clustering heterogeneous images into an unknown number of clusters / Papp, Dávid (Budapest University of Technology and Economics. Department of Telecommunications and Media Informatics) ; Szűcs, Gábor (Budapest University of Technology and Economics. Department of Telecommunications and Media Informatics)
In this paper we present an automatic clustering procedure with the main aim to predict the number of clusters of unknown, heterogeneous images. We used the Fisher-vector for mathematical representation of the images and these vectors were considered as input data points for the clustering algorithm. [...]
2017 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.1054
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 3 (2017) , p. 30-45 (Regular Issue)

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16 p, 2.3 MB

Semantic Video Concept Detection using Novel Mixed-Hybrid-Fusion Approach for Multi-Label Data / Janwe, Nitin Jagannathrao ; Bhoyar, Kishor (Yeshwantrao Chavan College of Engineering (Nagpur, Índia))
The performance of the semantic concept detection method depends on, the selection of the low-level visual features used to represent key-frames of a shot and the selection of the feature-fusion method used. [...]
2017 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.927
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 3 (2017) , p. 14-29 (Regular Issue)

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13 p, 709.9 KB

Random Image Matching CAPTCHA System / Hajjdiab, Hassan (Abu Dhabi University (Unió dels Emirats Àrabs ). Department of Computer Science and Information Technology) ; Ghazal, Mohammed (Abu Dhabi University (Unió dels Emirats Àrabs ). Department of Electrical and Computer Engineering) ; Khalil, Ashraf (Abu Dhabi University (Unió dels Emirats Àrabs ). Department of Computer Science and Information Technology)
Security risks is an important issues and caught the attention of researchers in the area of networks, web development, human computer interaction and software engineering. One main challenge for online systems is to identify whether the users are humans or software robots (bots). [...]
2017 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.1036
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 3 (2017) , p. 1-13 (Regular Issue)

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