PCA REDUCED GAUSSIAN MIXTURE MODELS WITH APPLICATIONS IN SUPERRESOLUTION
Despite the rapid development of computational hardware, the treatment of large and high dimensional data sets is still a challenging prob-lem. The contribution of this paper to the topic is twofold. First, we propose a Gaussian mixture model in conjunction with a reduction of the dimensionality of...
Main Authors: | Aujol, J.-F (Author), Bernard, D. (Author), Berthoumieu, Y. (Author), Hertrich, J. (Author), Nguyen, D.-P.-L (Author), Saadaldin, A. (Author), Steidl, G. (Author) |
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Format: | Article |
Language: | English |
Published: |
American Institute of Mathematical Sciences
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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