Výsledky vyhledávání - "Maia, José Everardo Bessa"

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A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views

Autor: Pereira, Silas Santiago Lopes, Maia, José Everardo Bessa

Occlusion and clutter are two scene states that make it difficult to detect anomalies in surveillance video. Furthermore, anomaly events are rare and, as a consequence, class imbalance and lack of labeled anomaly data are also key features of this ta

Externí odkaz: http://arxiv.org/abs/2307.00562

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Visual Odometry for RGB-D Cameras

Autor: Fontes, Afonso, Maia, Jose Everardo Bessa

Visual odometry is the process of estimating the position and orientation of a camera by analyzing the images associated to it. This paper develops a quick and accurate approach to visual odometry of a moving RGB-D camera navigating on a static envir

Externí odkaz: http://arxiv.org/abs/2203.15119

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Dissertation/ Thesis

Uma nova metaheurística evolucionária para a formação de mapas topologicamente ordenados e extensões

Autor: Maia, José Everardo Bessa

Publikováno v: Repositório Institucional da UFCUniversidade Federal do CearáUFC.

MAIA, J. E. B. Uma nova metaheurística evolucionária para a formação de mapas topologicamente ordenados e extensões. 2011. 119 f. Tese (Doutorado em Engenharia de Teleinformática) - Centro de Tecnologia, Universidade Federal do Ceará, Fortalez

Externí odkaz: http://www.repositorio.ufc.br/handle/riufc/1838

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ITCM: A Real Time Internet Traffic Classifier Monitor

Autor: Pereira, Silas Santiago Lopes, Maia, José Everardo Bessa, Silva, Jorge Luiz de Castro e

Publikováno v: International Journal of Computer Science & Information Technology (IJCSIT) Vol 6, No 6, December 2014

The continual growth of high speed networks is a challenge for real-time network analysis systems. The real time traffic classification is an issue for corporations and ISPs (Internet Service Providers). This work presents the design and implementati

Externí odkaz: http://arxiv.org/abs/1501.01321

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Akademický článek

MC-MIL: video surveillance anomaly detection with multi-instance learning and multiple overlapped cameras.

Autor: Pereira, Silas S. L., Maia, José Everardo Bessa

Publikováno v: Neural Computing & Applications; Jun2024, Vol. 36 Issue 18, p10527-10543, 17p

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A new evolutionary metaheuristic for formation of topologically ordered maps and extensions

Autor: Maia, José Everardo Bessa

Publikováno v: Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC

Topologically ordered maps are data representation techniques based on dimensionality reduction with the special property of preserving the neighborhood between the data prototypes lying in the data space and their positions on to the output space. B

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::0b2dbc9c80e8dad0f65b8a58f9ad08d4
http://www.repositorio.ufc.br/handle/riufc/1838

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Dissertation/ Thesis

Um modelo estocastico para avaliação de desempenho em processamento distribuido

Autor: Maia, Jose Everardo Bessa

Publikováno v: Repositório Institucional da UnicampUniversidade Estadual de CampinasUNICAMP.

Orientador : João Bosco Ribeiro do Val
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica
Made available in DSpace on 2018-07-14T21:30:56Z (GMT). No. of bitstreams: 1 Maia_JoseEverardoBessa_M.pdf

Externí odkaz: http://repositorio.unicamp.br/jspui/handle/REPOSIP/261452

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Clustering ensembles : a hedonic game theoretical approach

Autor: Sandes, Nelson Carvalho

Publikováno v: Biblioteca Digital de Teses e Dissertações da UNIFOR
Universidade de Fortaleza (UNIFOR)
instacron:UNIFOR

Made available in DSpace on 2022-06-22T23:43:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-05-14 Clustering ensembles (CE) is an approach that takes advantage of a set of clusterings, known as base partitions, to generate a consensus solu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::2f8e7191ee6f0975b9a33c9efa00a814
http://dspace.unifor.br/handle/tede/105662

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P2P Botnet Detection Based on Sub-flow Statistical Discriminators (Inglês)

Autor: Marinho, Renato Rodrigues

Publikováno v: Biblioteca Digital de Teses e Dissertações da UNIFOR
Universidade de Fortaleza (UNIFOR)
instacron:UNIFOR

Made available in DSpace on 2022-06-22T23:25:26Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-11-29 Botnet detection has received great attention from the academic community in recent years due to the potential threat they pose to Internet s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::e1d52e385b35886e1af112e3bf7b86a5
http://dspace.unifor.br/handle/tede/92110

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Towards the automatic design of the hidden layer of RBF networks: A Shapley value based approach (Inglês)

Autor: Sandes, Nelson Carvalho

Publikováno v: Biblioteca Digital de Teses e Dissertações da UNIFOR
Universidade de Fortaleza (UNIFOR)
instacron:UNIFOR

Made available in DSpace on 2022-06-22T23:27:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-11-25 Radial basis function (RBF) neural networks are feedforward neural models that typically have three layers of neurons: an input layer, a hidd

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::a777bdf79be51d0cc51576386a5d7071
http://dspace.unifor.br/handle/tede/92111

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