Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yongfa Ling"'
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 5, Pp 76-84 (2022)
The finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability. Under the conventional variational inference (VI) framework, the analytically tractable solution to the optimizati
Externí odkaz:
https://doaj.org/article/3ee46c19b2e54a24afcd488b8fc932e5
Publikováno v:
Nanomaterials, Vol 13, Iss 24, p 3117 (2023)
Memristors are recognized as crucial devices for future nonvolatile memory and artificial intelligence. Due to their typical neuron-synapse-like metal–insulator–metal(MIM) sandwich structure, they are widely used to simulate biological synapses a
Externí odkaz:
https://doaj.org/article/c758ff813abc40738eea614fa40252a6
Publikováno v:
IEEE Access, Vol 7, Pp 38146-38156 (2019)
Finite mixture models based on the symmetric Gaussian distribution have been applied broadly in data analysis. However, not all the data in real-world applications can be safely supposed to have a symmetric Gaussian form. This paper presents a new mi
Externí odkaz:
https://doaj.org/article/9378ce08b87a4661999f03b963adaa1d
Publikováno v:
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering.
Publikováno v:
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering.
Autor:
Xuezhen Li, Yongfa Ling
Publikováno v:
Procedia Computer Science. 183:814-819
In order to solve the problems of simple, low complexity and weak confidentiality in the generation of single chaotic sequence, a new chaotic sequence generation method based on xor was proposed by adding chaotic sequences generated by Logistic mappi
Publikováno v:
International Symposium on Artificial Intelligence and Robotics 2021.
This paper addresses the problem of the Bayesian estimation of the inverted Beta-Liouville mixture model (IBLMM), which has a fairly flexible positive data modeling capability. This problem does not usually admit an analytically tractable solution. S
Publikováno v:
IEEE Access, Vol 7, Pp 38146-38156 (2019)
Finite mixture models based on the symmetric Gaussian distribution have been applied broadly in data analysis. However, not all the data in real-world applications can be safely supposed to have a symmetric Gaussian form. This paper presents a new mi
Publikováno v:
Journal of Physics: Conference Series. 2083:032090
Structural light active imaging can obtain more information about the target scene, which is widely used in image registration,3D reconstruction of objects and motion detection. Due to the random fluctuation of water surface and complex underwater en
Publikováno v:
Journal of Physics: Conference Series. 2083:042019
When imaging through water surface, the random fluctuation of sea surface will cause the distortion of the target scene image, so the distorted image needs to be corrected and reconstructed. At present, distortion compensation mainly adopts iterative