Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Qin, Kun"'
Autor:
Fu, Cynthia H. Y., Erus, Guray, Fan, Yong, Antoniades, Mathilde, Arnone, Danilo, Arnott, Stephen R., Chen, Taolin, Choi, Ki Sueng, Fatt, Cherise Chin, Frey, Benicio N., Frokjaer, Vibe G., Ganz, Melanie, Garcia, Jose, Godlewska, Beata R., Hassel, Stefanie, Ho, Keith, McIntosh, Andrew M., Qin, Kun, Rotzinger, Susan, Sacchet, Matthew D.
Publikováno v:
BMC Psychiatry; 1/23/2023, Vol. 23 Issue 1, p1-18, 18p, 2 Color Photographs, 1 Diagram, 4 Charts, 3 Graphs
Building change detection is of great significance in high resolution remote sensing applications. Multi-index learning, one of the state-of-the-art building change detection methods, still has drawbacks like incapability to find change types directl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dc24cc6d0a88b9abf6c7f79981134f4
Publikováno v:
Advanced Materials Research. :344-351
To solve the problem of measurement original uncertainty, we present a proposed parallel updating approach for tracking a maneuvering target in cluttered environment using multiple sensors. A parallel updating method is followed where the raw sensor
Publikováno v:
Applied Mechanics and Materials. :873-878
In this paper, a new materials image retrieval methodology based on dynamic Bayesian network (DBN) is proposed to overcome certain drawbacks inherited in previously proposed CBIR methods. Firstly, the DBN structure and initial parameters is construct
Publikováno v:
Journal of Electronics & Information Technology. 30:1901-1904
Publikováno v:
Acta Optica Sinica. 29:2577-2583
Publikováno v:
2010 International Conference on Image Analysis and Signal Processing.
This paper proposes a new image segmentation method based on Type-2 fuzzy Gaussian Mixture Models (T2 FGMMs). First, the core-region and the open-region of image are extracted according to spatial information of pixels. Then, the GMMs parameters are
Publikováno v:
Advances in Neural Networks – ISNN 2007 ISBN: 9783540723929
ISNN (2)
ISNN (2)
An optimization algorithm for dynamic Bayesian networks (DBN) based on Bayesian optimization algorithm (BOA) is developed for learning and constructing the DBN structure. In this paper, we first introduce some basic theories and concepts of probabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1c76aa24a799d29db2340861f57b6d2
https://doi.org/10.1007/978-3-540-72393-6_51
https://doi.org/10.1007/978-3-540-72393-6_51