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Recent Advancements in Hyperspectral Image Reconstruction from a Compressive Measurement. [PDF]

Sensors (Basel)
Han XH, Wang J, Jiang H.
europepmc   +1 more source

Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits. [PDF]

Nat Genet
Hu S, Ferreira LAF, Shi S, Hellenthal G, Marchini J, Lawson DJ, Myers SR.   +6 more
europepmc   +1 more source

Quantum memory at nonzero temperature in a thermodynamically trivial system. [PDF]

Nat Commun
Hong Y, Guo J, Lucas A.
europepmc   +1 more source

Quantitative Characterization and Flow Simulation of Micropore Structure in Clastic Gas Reservoirs Based on Micron CT Scanning. [PDF]

ACS Omega
Liu J, Wang R, Song P, Li Y, Zheng S.
europepmc   +1 more source

Group Sparse Representation Enhances Brain Network Classification of Major Depressive Disorder in Two Chinese Cohorts. [PDF]

Alpha Psychiatry
Zhang D, Lin C, Zhang A, Wang X, Xia W, Wang Y, Du Y, DIRECT Consortium, Yu H, Ji S.   +9 more
europepmc   +1 more source

Image Restoration via Simultaneous Nonlocal Self-Similarity Priors

IEEE Transactions on Image Processing, 2020
Through exploiting the image nonlocal self-similarity (NSS) prior by clustering similar patches to construct patch groups, recent studies have revealed that structural sparse representation (SSR) models can achieve promising performance in various image restoration tasks.
Zhiyuan Zha, Xin Yuan, Jiantao Zhou
exaly   +5 more sources

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Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising

SIAM Journal on Imaging Sciences
The first six pages of the paper provide an excellent literature review on many pros and cons for image restoration when one has all types of noise in the image. This literature review includes the Parzen-Rosenblatt window technique, a statistical approach for calculating the empirical distribution of the given data. The block nonlocal regularizer also
Faqiang Wang, Junying Meng
exaly   +2 more sources

Hyperspectral Target Detection Method Based on Nonlocal Self-Similarity and Rank-1 Tensor

IEEE Transactions on Geoscience and Remote Sensing, 2022
In recent years, many target detection methods based on tensor representation theory have been proposed and achieved good results for hyperspectral images (HSIs). However, these methods still have some deficiencies. For example, 3-D hyperspectral data are first transformed into 1-D vectors in these methods, which may destroy the spatial structure of ...
Chunhui Zhao, Mingxing Wang, Shou Feng   +2 more
exaly   +2 more sources