Results 211 to 220 of about 1,797 (255)

Feature level quantitative ultrasound and CT information fusion to predict the outcome of head & neck cancer radiotherapy treatment: Enhanced principal component analysis. [PDF]

Med Phys
Moslemi A, Safakish A, Sannachi L, Alberico D, Czarnota GJ.   +4 more
europepmc   +1 more source

Spatiotemporal image reconstruction to enable high-frame-rate dynamic photoacoustic tomography with rotating-gantry volumetric imagers. [PDF]

J Biomed Opt
Cam RM, Wang C, Thompson W, Ermilov SA, Anastasio MA, Villa U.   +5 more
europepmc   +1 more source

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction. [PDF]

IEEE Trans Comput Imaging
Lozenski L, Cam RM, Pagel MD, Anastasio MA, Villa U.   +4 more
europepmc   +1 more source

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Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization

Journal of Optimization Theory and Applications, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tim Hoheisel, Elliot Paquette
openaire   +2 more sources

Feature and Nuclear Norm Minimization for Matrix Completion

IEEE Transactions on Knowledge and Data Engineering, 2022
Matrix completion, whose goal is to recover a matrix from a few entries observed, is a fundamental model behind many applications. Our study shows that, in many applications, the to-be-complete matrix can be represented as the sum of a low-rank matrix and a sparse matrix associating with side information matrices. The low-rank matrix depicts the global
Mengyun Yang, Yaohang Li, Jianxin Wang 0001   +2 more
openaire   +1 more source

Multi-channel nuclear norm minus Frobenius norm minimization for color image denoising

Signal Processing, 2023
Color image denoising is frequently encountered in various image processing and computer vision tasks. One traditional strategy is to convert the RGB image to a less correlated color space and denoise each channel of the new space separately. However, such a strategy can not fully exploit the correlated information between channels and is inadequate to
Tao Jia
exaly   +3 more sources

Cauchy Noise Removal by Weighted Nuclear Norm Minimization

Journal of Scientific Computing, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geonwoo Kim, Junghee Cho, Myungjoo Kang
openaire   +2 more sources

Distributed nuclear norm minimization for matrix completion

2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2012
The ability to recover a low-rank matrix from a subset of its entries is the leitmotif of recent advances for localization of wireless sensors, unveiling traffic anomalies in backbone networks, and preference modeling for recommender systems. This paper develops a distributed algorithm for low-rank matrix completion over networks.
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis   +2 more
openaire   +1 more source