Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Bachir Boucheham"'
Autor:
Mawloud Mosbah, Bachir Boucheham
Publikováno v:
Egyptian Informatics Journal, Vol 18, Iss 1, Pp 1-9 (2017)
In this paper, we address the selection in the context of Content Based-Image Retrieval (CBIR). Instead of addressing features’ selection issue, we deal here with distance selection as a novel paradigm poorly addressed within CBIR field. Whereas di
Externí odkaz:
https://doaj.org/article/53c58c6dbc1e4d6dbe2623b8a38d5df6
Publikováno v:
2022 2nd International Conference on New Technologies of Information and Communication (NTIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a918e6c4ca6fc7787f85341f44452eb
https://doi.org/10.1109/ntic55069.2022.10100501
https://doi.org/10.1109/ntic55069.2022.10100501
Autor:
Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafaela Benítez-Rochel, Safa Hamreras, Bachir Boucheham
Publikováno v:
IJCNN
In this paper, we present a new framework for Content Based Image Retrieval (CBIR), based on Dynamic Ensemble Selection (DES) of classifiers. Herein, the classifiers consist of Convolutional Neural Networks (CNNs) that output the class probability ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d1d811ddadd86ea4ba39e03b18dc00
https://doi.org/10.1109/ijcnn52387.2021.9533856
https://doi.org/10.1109/ijcnn52387.2021.9533856
Publikováno v:
2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS).
In Content Based-Image Retrieval (CBIR), low-level visual characteristics like color, texture and shape are used to search for relevant images. However, the result images returned to the user are generally not satisfactory to his expectations. This i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83f1a4e204d0c919b2d3cb1e1437df5c
https://doi.org/10.1109/ictaacs48474.2019.8988120
https://doi.org/10.1109/ictaacs48474.2019.8988120
Autor:
Abdelmadjid Lahreche, Bachir Boucheham
Publikováno v:
Expert Systems with Applications. 168:114374
The problem of similarity measures is a major area of interest within the field of time series classification (TSC). With the ubiquitous of long time series and the increasing demand for analyzing them on limited resource devices, there is a crucial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d573964fc771062036e987f958631e
https://doi.org/10.1016/j.eswa.2020.114374
https://doi.org/10.1016/j.eswa.2020.114374
Autor:
Ezequiel López-Rubio, Rafaela Benítez-Rochel, Bachir Boucheham, Miguel A. Molina-Cabello, Safa Hamreras
Publikováno v:
From Bioinspired Systems and Biomedical Applications to Machine Learning ISBN: 9783030196509
IWINAC (2)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
IWINAC (2)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
Hamreras S., Benítez-Rochel R., Boucheham B., Molina-Cabello M.A., López-Rubio E. (2019) Content Based Image Retrieval by Convolutional Neural Networks. In: Ferrández Vicente J., Álvarez-Sánchez J., de la Paz López F., Toledo Moreo J., Adeli H.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be058d37070f80f8075960129f876d44
https://doi.org/10.1007/978-3-030-19651-6_27
https://doi.org/10.1007/978-3-030-19651-6_27
Autor:
Bachir Boucheham, Abdelmadjid Lahreche
Publikováno v:
PAIS
In this paper, we propose an enhanced version of the Shape Exchange Algorithm (SEA) for the purpose of general Time Series Classification (TSC). Indeed, the SEA method is very effective in quasi-periodic time series matching. However, for general tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ee8cd41561fd3bc1019d791bdcc842
https://doi.org/10.1109/pais.2018.8598504
https://doi.org/10.1109/pais.2018.8598504
Autor:
Bachir Boucheham, Safa Hamreras
Publikováno v:
2018 International Symposium on Programming and Systems (ISPS).
In this paper, we propose a framework for “Algorithm Selection” for image retrieval by content (CBIR). The framework is based on the model of RICE and is adapted to satisfy a given query depending on its characteristics by choosing the best class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb3cda06197bdd701811cacbb76a0620
https://doi.org/10.1109/isps.2018.8379022
https://doi.org/10.1109/isps.2018.8379022
Autor:
Bachir Boucheham, Abdelmadjid Lahreche
Publikováno v:
2017 International Conference on Mathematics and Information Technology (ICMIT).
Complex time series are a concatenation of quasi-periodic time series, e.g. electrocardiogram (ECG) and capnogram. The complexity lies in the fact that these series usually composed of different number of periods, of different lengths that might be s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::630b6951d326ee06276a2c2249bacaa8
https://doi.org/10.1109/mathit.2017.8259731
https://doi.org/10.1109/mathit.2017.8259731
Autor:
Bachir Boucheham, Mawloud Mosbah
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319565378
WorldCIST (2)
WorldCIST (2)
In this paper, we compare between many matching measures (distances, quasi-distances, similarities and divergences), in the context of CBIR, in terms of effectiveness and efficiency. The major effort put up to now, within the area of CBIR, is usually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2433f58c0f1ea85b0505604299d8444
https://doi.org/10.1007/978-3-319-56538-5_26
https://doi.org/10.1007/978-3-319-56538-5_26