Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Armin Eftekhari"'
Autor:
Tahereh Hosseinzadeh-Nik, Armin Eftekhari, Atefe Saffar Shahroudi, Mahammad Javad Kharrazifard
Publikováno v:
Frontiers in Dentistry, Vol 13, Iss 3 (2016)
Objectives: This study was designed to assess the changes of the mandible of patients who underwent orthodontic treatment with or without extraction of four premolars. Materials and Methods: Eighteen Class I bimaxillary protrusion patients treated w
Externí odkaz:
https://doaj.org/article/d105d5e8543a4a1892a9ebcf088a3906
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
Optimizing the antecedent part of neurofuzzy system is an active research topic, for which different approaches have been developed. However, current approaches typically suffer from high computational complexity or lack of ability to extract knowled
Externí odkaz:
https://doaj.org/article/9b9d07778dfe4ddfa0a4092421962540
Publikováno v:
Statistics and Computing. 33
In this paper, we analyse a proximal method based on the idea of forward–backward splitting for sampling from distributions with densities that are not necessarily smooth. In particular, we study the non-asymptotic properties of the Euler–Maruyam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c77074e667bcfd167eeeab8b064fee72
https://doi.org/10.1007/s11222-023-10254-y
https://doi.org/10.1007/s11222-023-10254-y
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
Optimizing the antecedent part of neurofuzzy system is an active research topic, for which different approaches have been developed. However, current approaches typically suffer from high computational complexity or lack of ability to extract knowl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbb6d795bd4d754a4c7bcef3ddfe8913
https://doi.org/10.32920/21265731
https://doi.org/10.32920/21265731
Publikováno v:
Information and Inference: A Journal of the IMA. 10:161-193
We study the ubiquitous super-resolution problem, in which one aims at localizing positive point sources in an image, blurred by the point spread function of the imaging device. To recover the point sources, we propose to solve a convex feasibility p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::697ad37e457d24396de27777be1e33dc
https://doi.org/10.1093/imaiai/iaaa029
https://doi.org/10.1093/imaiai/iaaa029
Publikováno v:
Applied and Computational Harmonic Analysis. 63:93
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab57fed3a498e9fa937a81e4f25182a8
https://doi.org/10.1016/j.acha.2022.12.004
https://doi.org/10.1016/j.acha.2022.12.004
Autor:
Andrew Thompson, Armin Eftekhari
Publikováno v:
SIAM Journal on Optimization. 29:1329-1349
We study an optimization program over nonnegative Borel measures that encourages sparsity in its solution. Efficient solvers for this program are in increasing demand, as it arises when learning from data generated by a "continuum-of-subspaces" model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdedfc709efeea97649d1c9da753dc73
https://doi.org/10.1137/18m1183388
https://doi.org/10.1137/18m1183388
Autor:
Mohamad Forouzanfar, Mohammad Teshnehlab, Armin Eftekhari, Nosratallah Forghani, Shahab Mohammad-Moradi
Publikováno v:
Particle Swarm Optimization
Medical imaging refers to the techniques and processes used to obtain images of the human body for clinical purposes or medical science. Common medical imaging modalities include ultrasound (US), computerized tomography (CT), and magnetic resonance i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c28946052a656544d4e44e77319fa3e1
http://www.intechopen.com/articles/show/title/application_of_particle_swarm_optimization_in_accurate_segmentation_of_brain_mr_images
http://www.intechopen.com/articles/show/title/application_of_particle_swarm_optimization_in_accurate_segmentation_of_brain_mr_images
Autor:
Armin Eftekhari
Motivated by the emerging role of interpolating machines in signal processing and machine learning, this work considers the computational aspects of over-parametrized matrix factorization. In this context, the optimization landscape may contain spuri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::559e9c6f3cf7a4d8c2527b9263e66bc3
Autor:
Thomas Sanchez, Ruud B. van Heeswijk, Volkan Cevher, Armin Eftekhari, Efe Ilicak, Tolga Çukur, Baran Gozcu
Publikováno v:
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing-Proceedings
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP
Compressed sensing applied to magnetic resonance imaging (MRI) allows to reduce the scanning time by enabling images to be reconstructed from highly undersampled data. In this paper, we tackle the problem of designing a sampling mask for an arbitrary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78694d1362d1eabecdce5d3a17acaa4f
https://hdl.handle.net/11693/54953
https://hdl.handle.net/11693/54953