Results 231 to 240 of about 122,102 (269)

Psychological symptoms and their correlates in pneumoconiosis patients: a bilingual scoping review. [PDF]

Front Public Health
Wang XP, Li R, Tam KP.
europepmc   +1 more source

Ensemble-based high-performance deep learning models for medical image retrieval in breast cancer detection. [PDF]

Sci Rep
Fawzy AE, Almandouh ME, Herajy M, Eisa M.   +3 more
europepmc   +1 more source

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Phase retrieval and norm retrieval in tensor product space

Journal of Pseudo-Differential Operators and Applications, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dowerah, Suman, Mukherjee, Saikat
openaire   +4 more sources

Norm retrieval from few spatio-temporal samples

Journal of Mathematical Analysis and Applications, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F. Bozkurt, K. Kornelson
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A note on norm retrievable real Hilbert space frames

Journal of Mathematical Analysis and Applications, 2023
The paper investigates the problem of norm retrieval by vectors and projections in the context of finite and countable dimensional real Hilbert space. In particular, the case of when hyperplanes do norm retrieval is studied. Moreover, some results about the nondensity of families are given; for example, the families of vectors which do norm retrieval ...
F. Akrami, P.G. Casazza, M.A. Hasankhani Fard, A. Rahimi   +3 more
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Norm retrieval algorithms: A new frame theory approach

Mathematical Methods in the Applied Sciences
In this paper, we introduce a new approach based on the excess components of a frame for recognizing norm retrieval frames (NRFs) in finite‐dimensional Hilbert spaces. This method leads to a complete characterization of NRFs in and and then to 1‐excess NRFs in .
Fahimeh Arabyani‐Neyshaburi, Ali Akbar Arefijamaal, Ramin Farshchian, Rajab Ali Kamyabi‐Gol   +3 more
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Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization

IEEE Transactions on Signal Processing, 2015
This paper is concerned with estimation of two-dimensional (2-D) frequencies from partial time samples, which arises in many applications such as radar, inverse scattering, and super-resolution imaging. Suppose that the object under study is a mixture of r continuous-valued 2-D sinusoids.
Yuejie Chi, Yuxin Chen
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Weaving Phase Retrieval and Weaving Norm Retrieval

International Journal of Applied and Computational Mathematics, 2022
Suman Dowerah, Saikat Mukherjee
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Phase retrieval from incomplete data via weighted nuclear norm minimization

Pattern Recognition, 2022
Zhi Li, Ming Yan, Tieyong Zeng, Guixu Zhang   +3 more
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