Chen, Ke.
概要
作品: | 0 作品在 3 項出版品 1 種語言 |
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書目資訊
Advances in Natural ComputationFirst International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings.III /
by:
(1998 :); Chen, Ke.; Ong, Yew Soon.; SpringerLink (Online service); Wang, Lipo.
(書目-電子資源)
Matrix Preconditioning Techniques and Applications.
by:
Ablowitz, M. J.; Chen, Ke.; Davis, S. H.; Ebooks Corporation.; Hinch, E. J.; Iserles, A.; Ockendon, J.; Olver, P. J.
(書目-電子資源)
Advances in Natural ComputationFirst International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings.II /
by:
(1998 :); Chen, Ke.; Ong, Yew Soon.; SpringerLink (Online service); Wang, Lipo.
(書目-電子資源)
Advances in Natural ComputationFirst International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings.I /
by:
(1998 :); Chen, Ke.; Ong, Yew Soon.; SpringerLink (Online service); Wang, Lipo.
(書目-電子資源)
Forging connections between computational mathematics and computational geometrypapers from the 3rd International Conference on Computational Mathematics and Computational Geometry /
by:
(1998 :); Chen, Ke.; Ravindran, Anton.; SpringerLink (Online service)
(書目-電子資源)
Handbook of mathematical models and algorithms in computer vision and imagingmathematical imaging and vision /
by:
Chen, Ke.; SpringerLink (Online service)
(書目-電子資源)
Medical image understanding and analysis23rd Conference, MIUA 2019, Liverpool, UK, July 24-26, 2019 : proceedings /
by:
(1998 :); Chen, Ke.; SpringerLink (Online service); Williams, Bryan M.; Zheng, Yalin.
(書目-電子資源)
主題
Image Processing and Computer Vision.
Evolutionary Biology.
Pattern Recognition.
Mathematics
Statistics, general.
Algorithm Analysis and Problem Complexity.
Artificial Intelligence (incl. Robotics)
Computation by Abstract Devices.
Statistical Theory and Methods.
Computer vision
Neural networks (Computer science)
Geometry
Diagnostic imaging
Analysis.
Computational Mathematics and Numerical Analysis.
Machine Learning.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Optimization.
Computer Science.
Statistics.
Mathematical models.
Computational Biology/Bioinformatics.
Mathematical optimization.
Mathematical Models of Cognitive Processes and Neural Networks.