Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Henrietta Toman"'
Autor:
Róbert Lakatos, Attila Tiba, Gergő Bogacsovics, Henrietta Toman, Marcell Beregi-Kovács, Andras Hajdu
Publikováno v:
Annales Mathematicae et Informaticae. 53:73-91
Researchers often use theoretical models which provide a relatively sim- ple, yet concise and effective way of modelling various phenomena. However, it is a well-known fact that the more complex the model, the more complex the mathematical descriptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3c112e079c75df6979d6b07c4b8517a
https://doi.org/10.33039/ami.2021.02.003
https://doi.org/10.33039/ami.2021.02.003
Autor:
Alaa H. Ahmed, Henrietta Tomán
Publikováno v:
Computation, Vol 12, Iss 10, p 209 (2024)
The fusion process considers the boundary between correct and conflict records. It has been a fundamental component in ensuring the accuracy of many mathematical algorithms that utilize multiple input sources. Fusion techniques give priority and high
Externí odkaz:
https://doaj.org/article/6ecdc09a839f418787b99920166c2ab7
Publikováno v:
ISPA
In this paper, we propose an image pyramid-based noisy energy function evaluation method for the local search technique simulated annealing. The method is primarily designed for the optimization of image segmentation algorithms, and it maintains solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674d978c6438b2b53bce4bb3bc80479b
https://doi.org/10.1109/ispa.2019.8868860
https://doi.org/10.1109/ispa.2019.8868860
Publikováno v:
ISPA
There are numerous reasons why inappropriate data can occur in a database. It is essential to detect and eliminate these elements for getting accurate results and conclusions. The process of filtering anomalies generated in the database is called out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dce5adbb6b35cbb2cf0df22babe02c9
https://doi.org/10.1109/ispa.2019.8868911
https://doi.org/10.1109/ispa.2019.8868911
Publikováno v:
Progress in Industrial Mathematics at ECMI 2018 ISBN: 9783030275495
Ensemble-based approaches are very effective in various fields in raising the accuracy of its individual members, when some voting rule is applied for aggregating the individual decisions. In this paper, we investigate how to find and characterize th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4500671cadcb86d545c592e7542be57e
https://doi.org/10.1007/978-3-030-27550-1_67
https://doi.org/10.1007/978-3-030-27550-1_67
Publikováno v:
Pattern Recognition. 107:107510
In this study, we attempted to develop a method for accelerating parameter optimization of an object detector ensemble over large image datasets by using simulated annealing. We propose a novel sampling-based evaluation method that considers the mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90caa6d7a04d5a1cea703e39ab957c9d
https://doi.org/10.1016/j.patcog.2020.107510
https://doi.org/10.1016/j.patcog.2020.107510
Publikováno v:
ICPR
Ensemble-based systems are primarily analyzed on how the accuracy of the ensemble depends on that of its members. In this paper, we extend this model with adding a natural constraint regarding a time limit within which the ensemble should make the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9703961893bf08ab8829e9fde508bb56
https://doi.org/10.1109/icpr.2016.7899637
https://doi.org/10.1109/icpr.2016.7899637
Publikováno v:
EMBC
In this paper, we propose an efficient way to determine the optimal parameter setting of an ensemble based system dedicated to the detection of exudates in retinal images. We show that the optimal parameter settings of an individual detector may be d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35438e269ea62666c6f2fc0b0adb4c5b
https://pubmed.ncbi.nlm.nih.gov/26737474
https://pubmed.ncbi.nlm.nih.gov/26737474
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3992 (2023)
An important concern with regard to the ensembles of algorithms is that using the individually optimal parameter settings of the members does not necessarily maximize the performance of the ensemble itself. In this paper, we propose a novel evaluatio
Externí odkaz:
https://doaj.org/article/4c6b60adb365400c90d93e3dfd9a593c
Generating ensembles from multiple individual classifiers is a popular approach to raise the accuracy of the decision. As a rule for decision making, majority voting is a usually applied model. In this paper, we generalize classical majority voting b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e08159a4383238d44e471d70d0e824