Characterization of Dielectric Materials by Sparse Signal Processing with Iterative Dictionary Updates

Autor: Thanthrige, Udaya S. K. P. Miriya, Barowski, Jan, Rolfes, Ilona, Erni, Daniel, Kaiser, Thomas, Sezgin, Aydin

Estimating parameters and properties of various materials without causing damage to the material under test (MUT) is important in many applications. Thus, in this letter, we address this by wireless sensing. Here, the accuracy of the estimation depen

Externí odkaz: http://arxiv.org/abs/2006.09093

Evaluating the Impact of Dictionary Updates on Automatic Annotations Based on Clinical NLP Systems.

Autor: Fan Y; Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, United States.; Institute for Health Informatics, University of Minnesota, Minneapolis, MN, United States., Wen A; Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, United States., Shen F; Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, United States., Sohn S; Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, United States., Liu H; Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, United States., Wang L; Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, United States.

Publikováno v: AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2019 May 06; Vol. 2019, pp. 714-721. Date of Electronic Publication: 2019 May 06 (Print Publication: 2019).

Characterization of Dielectric Materials by Sparse Signal Processing with Iterative Dictionary Updates

Autor: Aydin Sezgin, Jan Barowski, Thomas Kaiser, Daniel Erni, Ilona Rolfes, Udaya S. K. P. Miriya Thanthrige

Estimating parameters and properties of various materials without causing damage to the material under test (MUT) is important in many applications. Thus, in this letter, we address this by wireless sensing. Here, the accuracy of the estimation depen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::800d59938fce542805e0258088f1b0c2
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85091884988

Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse

Autor: Michael Elad, Leslie N. Smith

Publikováno v: IEEE Signal Processing Letters. 20:79-82

In this letter, we propose two improvements of the MOD and K-SVD dictionary learning algorithms, by modifying the two main parts of these algorithms-the dictionary update and the sparse coding stages. Our first contribution is a different dictionary-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::987746febd63b03d0dae640eaf7e0597
https://doi.org/10.1109/lsp.2012.2229976

A method to update traditional explanatory dictionaries

Autor: Rūta Petrauskaitė, Virginijus Dadurkevičius

Publikováno v: Taikomoji kalbotyra, Vol 16 (2021)

In the paper the method is presented how to update traditional digitalised dictionaries based on comparison of the dictionary lemmas and a big corpus. Hunspell platform is used for generation of all the word forms from the dictionary lemmas. 6th edit

Externí odkaz: https://doaj.org/article/0fcc42a36f4a466483fc90a8a85c9b0d