Výsledky vyhľadávania - Gradient-based retrieval algorithm

An Improved Gradient-Based Retrieval Algorithm in Conjunction with IFORM Discretization Approach for Long-Term Response Analysis of Floating Structures

Autori: Junrong Wang Jie Gui Botao Xie a ďalší

Automated facial characterization and image retrieval by convolutional neural networks

Autori: Syed Taimoor Hussain Shah Syed Adil Hussain Shah Shahzad Ahmad Qureshi a ďalší

Zdroj: Frontiers in Artificial Intelligence, Vol 6 (2023)

Predmety: oriented gradient-based algorithm, convolutional neural networks, GoogLeNet, AlexNet, KNN, computer vision, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frai.2023.1230383/full; https://doaj.org/toc/2624-8212

Prístupová URL adresa: https://doaj.org/article/fbf45bdce81847a98c6e7d34b31b2317

Measurement of polarization aberration of high numerical-aperture optical systems via gradient-based phase retrieval.

Autori: Cao, Zhaolou Zhai, Chunjie

Zdroj: Optics & Lasers in Engineering. Dec2025, Vol. 195, pN.PAG-N.PAG. 1p.

Predmety: *NUMERICAL apertures, *METROLOGY, *OPTICAL measurements, *EMPIRICAL research, *LINEAR polarization, *OPTICAL devices, *MATHEMATICAL optimization, *OPTICAL aberrations

Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery : Application to Improve PERSIANN-CCS

Autori: Hayatbini, Negin Hsu, Kuo-lin Sorooshian, Soroosh a ďalší

Zdroj: Journal of Hydrometeorology, 2019 May 01. 20(5), 901-913.

Prístupová URL adresa: https://www.jstor.org/stable/26740282

A Fast Gradient-Based Iterative Algorithm for Undersampled Phase Retrieval.

Autori: Li, Qiang Huang, Lei Zhang, Peichang a ďalší

Zdroj: IEEE Transactions on Aerospace & Electronic Systems. Aug2018, Vol. 54 Issue 4, p2086-2090. 5p.

Predmety: ITERATIVE methods (Mathematics), THRESHOLDING algorithms, QUADRATIC programming

Unfolded Algorithms for Deep Phase Retrieval.

Autori: Naimipour, Naveed Khobahi, Shahin Soltanalian, Mojtaba a ďalší

Zdroj: Algorithms; Dec2024, Vol. 17 Issue 12, p587, 22p

Predmety: ARTIFICIAL neural networks, DEEP learning, SIGNAL processing, MACHINE learning, RESEARCH personnel

Effective cloud detection and segmentation using a gradient-based algorithm for satellite imagery: Application to improve PERSIANN-CCS

Autori: Hayatbini, N Hsu, KL Sorooshian, S a ďalší

Zdroj: Journal of Hydrometeorology; vol 20, iss 5, 901-913; 1525-755X

Témy: cs.CV, Bioengineering, Meteorology & Atmospheric Sciences, Atmospheric Sciences, article

URL: https://escholarship.org/uc/item/35t747pm
https://escholarship.org/

Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS

Autori: Hayatbini, Negin Hsu, Kuo-lin Sorooshian, Soroosh a ďalší

Témy: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1809.10801

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

Autori: Mignacco, Francesca Urbani, Pierfrancesco Zdeborová, Lenka

Témy: Condensed Matter - Disordered Systems and Neural Networks, Computer Science - Machine Learning, Mathematics - Statistics Theory, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2103.04902

Non-Coherent DOA Estimation via Proximal Gradient Based on a Dual-Array Structure

Autori: Zhengyu Wan Wei Liu

Zdroj: IEEE Access, Vol 9, Pp 26792-26801 (2021)

Predmety: DOA estimation, phase retrieval, group sparsity, dual-arrays, majorization-minimization, proximal gradient, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9350253/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/19837e88cf184a3992362c5b287017fb

An Undersampled Phase Retrieval Algorithm via Gradient Iteration

Autori: Peichang Zhang Weize Sun Lei Huang a ďalší

Zdroj: 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM). :228-231

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: http://eprints.whiterose.ac.uk/143293/1/An%20Undersampled%20Phase%20Retrieval%20Algorithm%20via.pdf
https://ieeexplore.ieee.org/document/8449000
https://eprints.whiterose.ac.uk/143293/
https://sigport.org/documents/undersampled-phase-retrieval-algorithm-gradient-iteration
https://dblp.uni-trier.de/db/conf/ieeesam/sam2018.html#LiLHSZ18
https://doi.org/10.1109/SAM.2018.8449000

Improved Inverse First-Order Reliability Method for Analyzing Long-Term Response Extremes of Floating Structures.

Autori: Wang, Junrong Bai, Zhuolantai Xie, Botao a ďalší

Zdroj: Journal of Marine Science & Application; Jun2025, Vol. 24 Issue 3, p552-566, 15p

Complex Noise-Based Phase Retrieval Using Total Variation and Wavelet Transform Regularization.

Autori: Qin, Xing Gao, Xin Yang, Xiaoxu a ďalší

Zdroj: Photonics; Jan2024, Vol. 11 Issue 1, p71, 20p

Predmety: IMAGE reconstruction algorithms, IMAGE reconstruction, RANDOM noise theory, WAVELET transforms, NUMERICAL analysis, DISCRETE wavelet transforms, HOLOGRAPHY

Image Segmentation Using a Texture Gradient Based Watershed Transform.

Autori: Hill, Paul R. Canagarajah, C. Nishan Bull, David R.

Zdroj: IEEE Transactions on Image Processing; Dec2003, Vol. 12 Issue 12, p1618-1633, 16p

Predmety: IMAGE analysis, IMAGE, ALGORITHMS, IMAGE retrieval, INFORMATION retrieval, MULTIMEDIA systems

A Theory of Maximum Entropy Production and Its Application to Microwave Remote Sensing—Simultaneous Retrieval of Soil Moisture and Vegetation Water Content.

Autori: Wang, J. Cho, K. Negron‐Juarez, R. I. a ďalší

Zdroj: Earth & Space Science; Mar2024, Vol. 11 Issue 3, p1-21, 21p

Predmety: MICROWAVE remote sensing, SOIL moisture, MICROWAVE heating, MAXIMUM entropy method, RADIATION, ELECTROMAGNETIC wave propagation, MICROWAVE attenuation

Geografický termín: NORTH America

Adversarial Attacks and Defences For Image Retrieval Systems

Autori: Lu, Junda

Témy: Adversarial Machine Learning, Image Retrieval, Adversarial Attack, Adversarial Defence, anzsrc-for: 461101 Adversarial machine learning, anzsrc-for: 461199 Machine learning not elsewhere classified, doctoral thesis, http://purl.org/coar/resource_type/c_db06

URL: http://hdl.handle.net/1959.4/100769
https://unsworks.unsw.edu.au/bitstreams/42d5f961-90d5-47d5-a25a-c96197c22fdd/download
https://doi.org/10.26190/unsworks/24476
https://www.cs.toronto.edu/~kriz/cifar.html
https://cocodataset.org/#home
https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/NUS-WIDE.html
https://www.robots.ox.ac.uk/~vgg/data/oxbuildings/
https://www.robots.ox.ac.uk/~vgg/data/parisbuildings/
https://www.cs.toronto.edu/~kriz/cifar.html
https://cocodataset.org/#home
https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/NUS-WIDE.html
https://www.robots.ox.ac.uk/~vgg/data/oxbuildings
https://www.robots.ox.ac.uk/~vgg/data/parisbuildings

Zernike integrated partial phase error reduction algorithm

Autori: Stephen C. Cain

Zdroj: Results in Optics, Vol 4, Iss , Pp 100085- (2021)

Predmety: Phase retrieval, Zernike polynomials, Blind deconvolution, Optics. Light, QC350-467

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S266695012100033X; https://doaj.org/toc/2666-9501

Prístupová URL adresa: https://doaj.org/article/297bff217ee84b92bb0acca470aa46ad

Supervised dual tight frame learning with deep thresholding network for phase retrieval.

Autori: Shi, Baoshun Lian, Qiusheng Su, Yueming

Zdroj: IET Image Processing (Wiley-Blackwell); Aug2022, Vol. 16 Issue 10, p2752-2758, 7p

Predmety: SUPERVISED learning, DEEP learning, THRESHOLDING algorithms, RANDOM noise theory, PROBLEM solving

Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land.

Autori: Lipponen, Antti Mielonen, Tero Pitkänen, Mikko R. A. a ďalší

Zdroj: Atmospheric Measurement Techniques; 2018, Vol. 11 Issue 3, p1529-1547, 19p

Predmety: OPTICAL properties of atmospheric aerosols, MODIS (Spectroradiometer), ALGORITHMS, BAYESIAN analysis, PARAMETERS (Statistics)

Classification of Audio Signals Using Gradient-Based Fuzzy c-Means Algorithm with Divergence Measure.

Autori: Ho, Yo-Sung Kim, Hyoung Joong Park, Dong-Chul a ďalší

Zdroj: Advances in Mulitmedia Information Processing - PCM 2005 (9783540300274). 2005, p698-708. 11p.