Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Fabiano Petronetto"'
Boundary detection has long been a fundamental tool for image processing and computer vision, supporting the analysis of static and time-varying data. In this work, we built upon the theory of Graph Signal Processing to propose a novel boundary detec
Externí odkaz:
http://arxiv.org/abs/1909.03993
Publikováno v:
IEEE Transactions on Visualization & Computer Graphics; Aug2021, Vol. 27 Issue 8, p3481-3492, 12p
Autor:
Alcebiades Dal Col, Fabiano Petronetto
Publikováno v:
Pattern Recognition. 129:108690
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc52b8fc656f1ea684d4d841c3002451
https://doi.org/10.1016/j.patcog.2022.108690
https://doi.org/10.1016/j.patcog.2022.108690
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Boundary detection has long been a fundamental tool for image processing and computer vision, supporting the analysis of static and time-varying data. In this work, we built upon the theory of Graph Signal Processing to propose a novel boundary detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4920ca44b21fd0843e1cdca4e204eb81
https://pubmed.ncbi.nlm.nih.gov/32149640
https://pubmed.ncbi.nlm.nih.gov/32149640
Autor:
L. Gustavo Nonato, Alcebiades Dal Col, Fabio Dias, Fabiano Petronetto, Cláudio T. Silva, Paola Valdivia
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The conventional wavelet transform is widely used in image and signal processing, where a signal is decomposed into a combination of known signals. By analyzing the individual contributions, the behavior of the original signal can be inferred. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36a2eaa13a818e8794033ed5233b1c6c
https://doi.org/10.1109/mcse.2017.3421553
https://doi.org/10.1109/mcse.2017.3421553
Autor:
Fernando V. Paulovich, A. Barbosa, Siome Goldenstein, Luis Gustavo Nonato, Afonso Paiva, Fabiano Petronetto
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Kernel-based methods have experienced a substantial progress in the last years, tuning out an essential mechanism for data classification, clustering and pattern recognition. The effectiveness of kernel-based techniques, though, depends largely on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a501fba6fbaec44c67077267a282d602
https://doi.org/10.1109/tvcg.2015.2464797
https://doi.org/10.1109/tvcg.2015.2464797
Autor:
Fabiano Petronetto, L. Gustavo Nonato, Paola Valdivia, Alcebiades Dal Col, Fabio Dias, Cláudio T. Silva
Publikováno v:
Signals and Communication Technology ISBN: 9783030035730
The wavelet coefficients associated with each node of the graph encode information about the signal under analysis considering all nodes in its neighborhood. However, understanding and extracting insight out of this wealth of information can be a cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::219efa14a61bb516b4c50c1d99384702
https://doi.org/10.1007/978-3-030-03574-7_14
https://doi.org/10.1007/978-3-030-03574-7_14
Publikováno v:
SIBGRAPI
Visualization is an important tool in the analysis and understanding of networks and their content. However, visualization tools face major challenges when dealing with large networks, mainly due to visual clutter. In this context, network simplifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccf282f2e9aa1d80d477fa979c9c4ba3
https://doi.org/10.1109/sibgrapi.2018.00051
https://doi.org/10.1109/sibgrapi.2018.00051
Publikováno v:
Computer Graphics Forum. 34:281-290
Multidimensional projection-based visualization methods typically rely on clustering and attribute selection mechanisms to enable visual analysis of multidimensional data. Clustering is often employed to group similar instances according to their dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f105b94ec3070008ecca7977cb955b12
https://doi.org/10.1111/cgf.12640
https://doi.org/10.1111/cgf.12640
Autor:
Moussa Reda Mansour, Cláudio T. Silva, Fabiano Petronetto, Fabio Dias, Luis Gustavo Nonato, Markus Diego Dias
Publikováno v:
SIBGRAPI
Visualization tools play an important part in assisting analysts in the understanding of networks and underlying phenomena. However these tasks can be hindered by visual clutter. Simplification/decimation schemes have been a main alternative in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::877b28cfe003732fe62850d3e67180b0
https://doi.org/10.1109/sibgrapi.2017.22
https://doi.org/10.1109/sibgrapi.2017.22