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Issue Date
Title
Author(s)
2018
Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction
Zhang, L.
;
Wei, W.
;
Zhang, Y.
;
Shen, C.
;
van den Hengel, A.
;
Shi, Q.
2020
Accurate tensor completion via adaptive low-rank representation
Zhang, L.
;
Wei, W.
;
Shi, Q.
;
Shen, C.
;
van den Hengel, A.
;
Zhang, Y.
2019
Accurate imagery recovery using a multi-observation patch model
Zhang, L.
;
Wei, W.
;
Shi, Q.
;
Shen, C.
;
van den Hengel, A.
;
Zhang, Y.
2016
Cluster sparsity field for hyperspectral imagery denoising
Zhang, L.
;
Wei, W.
;
Zhang, Y.
;
Shen, C.
;
Van Den Hengel, A.
;
Shi, Q.
;
Leibe, B.
;
Matas, J.
;
Sebe, N.
;
Welling, M.
;
14th European Conference on Computer Vision (ECCV) (8 Oct 2016 - 16 Oct 2016 : Amsterdam, Netherlands)
2015
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior
Zhang, L.
;
Wei, W.
;
Zhang, Y.
;
Li, F.
;
Shen, C.
;
Shi, Q.
;
IEEE International Conference on Computer Vision (11 Dec 2015 - 18 Dec 2015 : Santiago, Chile)
2016
Dictionary learning for promoting structured sparsity in hyperspectral compressive sensing
Zhang, L.
;
Wei, W.
;
Zhang, Y.
;
Shen, C.
;
Van Den Hengel, A.
;
Shi, Q.
Discover
Author
6
Wei, W.
6
Zhang, Y.
3
van den Hengel, A.
2
Van Den Hengel, A.
1
14th European Conference on Compu...
1
IEEE International Conference on ...
1
Leibe, B.
1
Li, F.
1
Matas, J.
1
Sebe, N.
.
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Subject
1
Adaptive low-rank representation;...
1
Dictionary learning; hyperspectra...
1
Hyperspectral; Denoising; Structu...
1
Patch model; latent variable Baye...
1
Structured sparsity; spatial simi...
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2020
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