Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Gong De Guo"'
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Mahalanobis distance is a distance measure that takes into account the relationship between features. In this paper, we proposed a quantum KNN classification algorithm based on the Mahalanobis distance, which combines the classical KNN algorithm with
Externí odkaz:
https://doaj.org/article/d5a89c8a2058480e87cf93a3ac963871
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Quantum communication networks are connected by various devices to achieve communication or distributed computing for users in remote locations. In order to solve the problem of generating temporary session key for secure communication in optical-rin
Externí odkaz:
https://doaj.org/article/2307ba5b16ca404796118d39ba435737
Publikováno v:
Physical Review A. 106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a151c53baef974cca99db670b0f914d2
https://doi.org/10.1103/physreva.106.012406
https://doi.org/10.1103/physreva.106.012406
Publikováno v:
Computers, Materials & Continua. 65:1397-1409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa0e8e7536db1ed84aff6ab4cf90708
https://doi.org/10.32604/cmc.2020.011399
https://doi.org/10.32604/cmc.2020.011399
Dimensionality reduction (DR) of data is a crucial issue for many machine learning tasks, such as pattern recognition and data classification. In this paper, we present a quantum algorithm and a quantum circuit to efficiently perform linear discrimin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11618aa55c6be2d1ff7e27a559e9f7b4
http://arxiv.org/abs/2103.03131
http://arxiv.org/abs/2103.03131
Publikováno v:
International Journal of Theoretical Physics. 55:4060-4074
In this paper, we study a three-state quantum walk with a phase defect at a designated position. The coin operator is a parametrization of the eigenvectors of the Grover matrix. We numerically investigate the properties of the proposed model via the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63ac713877194f48656256bd72442612
https://doi.org/10.1007/s10773-016-3034-7
https://doi.org/10.1007/s10773-016-3034-7
Differentiation of organic and non-organic apples using image processing — A cost-effective approach
Publikováno v:
Data Science and Knowledge Engineering for Sensing Decision Support.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::449d7d2ccb55557a6ac609dd8d436b4f
https://doi.org/10.1142/9789813273238_0180
https://doi.org/10.1142/9789813273238_0180
Publikováno v:
Applied Mathematics and Computation. 269:956-964
In this paper, we propose a Newton-based algorithm for nonnegative matrix factorization in image processing. We employ the new algorithm to three real-world databases. Extensive numerical results show the feasibility and validity of the proposed algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac1bc05c5483eeda97e4c8343ef7f28f
https://doi.org/10.1016/j.amc.2015.08.034
https://doi.org/10.1016/j.amc.2015.08.034
Publikováno v:
Multimedia Tools and Applications. 75:11127-11155
In recent years, nonnegative matrix factorization (NMF) has attracted significant amount of attentions in image processing, text mining, speech processing and related fields. Although NMF has been applied in several application successfully, its simp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ab08ba70140679737a6488ffa1f1f07
https://doi.org/10.1007/s11042-015-2837-5
https://doi.org/10.1007/s11042-015-2837-5
Publikováno v:
Applied Mathematics and Computation. 259:212-219
In this paper, a modified conjugate gradient iterative method for solving Sylvester equation is presented. By using this iterative method, the least squares anti-bisymmetric solution and the optimal approximation solution can be obtained. Here we pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfae9a58f477ef8ca710a36a31d5b05c
https://doi.org/10.1016/j.amc.2015.02.056
https://doi.org/10.1016/j.amc.2015.02.056