Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ioannis Tziakos"'
Autor:
Nathan Franklin, Guillermo Román-Pérez, Jari Hyväluoma, G.A. García, Adham Hashibon, Kit Choi, Keijo Mattila, Y. Makushok, Mehdi Sadeghi, Joan Adler, Jesus Lama, Didrik Pinte, Ioannis Tziakos, Sampo Kulju, V. Makushok, Amihai Silverman
Publikováno v:
Computer Physics Communications. 231:45-61
We describe three distinct approaches to visualization for multiscale materials modelling research. These have been developed with the framework of the SimPhoNy FP7 EU-project, and complement each other in their requirements and possibilities. All ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6310dd53e1f6ce8f60fee97ee1acdd70
https://doi.org/10.1016/j.cpc.2018.05.005
https://doi.org/10.1016/j.cpc.2018.05.005
Publikováno v:
Neurocomputing. 73:1881-1891
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vectors extracted over a region of interest (ROI) as features and a non-lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64ec64161d65a8a896fd1294bdbfc8ad
https://doi.org/10.1016/j.neucom.2009.10.028
https://doi.org/10.1016/j.neucom.2009.10.028
Publikováno v:
Pattern Recognition Letters. 30:123-131
We introduce the use of dimensionality reduction for video event detection without explicitly using motion estimation or object tracking. Raw data from video sequences are used to construct a low-dimensional mapping representing the input frames. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::112a340086ce020491d947841df82033
https://doi.org/10.1016/j.patrec.2008.02.028
https://doi.org/10.1016/j.patrec.2008.02.028
Publikováno v:
AVSS
On-line abnormality detection in video without the use ofobject detection and tracking is a desirable task in surveillance.We address this problem for the case when labeledinformation about normal events is limited and informationabout abnormal event
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7be5c0760c334808dc75d3ef1bb1c3ce
https://doi.org/10.1109/avss.2010.70
https://doi.org/10.1109/avss.2010.70
Publikováno v:
Journal of Electronic Imaging. 18:023004
The novel technique of Laplacian eigenmaps (LE) is studied as a means of improving the clustering-based segmentation of color images. Taking advantage of the ability of the LE algorithm to learn the actual manifold of the multivariate data, a computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7afc201d6efe032fb54e7b47b69e75e
https://doi.org/10.1117/1.3122369
https://doi.org/10.1117/1.3122369
Publikováno v:
Journal of Electronic Imaging; Apr2009, Vol. 18 Issue 2, p023004-023004-10, 1p