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Sparse Representation In Reproducing Kernel Hilbert Spaces
Author: Release time:2019-03-19 Number of clicks:

Title: Sparse Representation In Reproducing Kernel Hilbert Spaces

Speaker: Qian Tao

Affiliation: MacauUniversity of Science and Technology and Emeritus Professor at University of Macau

Time: 2019-03-22 16:00-17:00

Venue: Room 201 Lecture Hall

abstract:

Abstract: Under a mild condition satisfied by most reproducing kernel Hilbert spaces one can develop a sparse representation or approximation theory and algorithm. It can be used in many theoretical studies, such as integral and differential equations as well as in practice of signal and image analysis, and system identification.



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