Browse "AI-Journal Papers(저널논문)" by Subject RECOVERY

Showing results 1 to 7 of 7

1
A general family of trimmed estimators for robust high-dimensional data

Yang, Eunho; Lozano, Aurelie C.; Aravkin, Aleksandr, ELECTRONIC JOURNAL OF STATISTICS, v.12, no.2, pp.3519 - 3553, 2018-10

2
Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity

Lee, Okkyun; Kim, Jong Min; Bresler, Yoram; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.30, no.5, pp.1129 - 1142, 2011-05

3
Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing

Kim, Jong Min; Lee, Ok Kyun; Ye, Jong Chul, IEEE TRANSACTIONS ON INFORMATION THEORY, v.58, no.1, pp.278 - 301, 2012-01

4
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval

Cha, Eunju; Lee, Chanseok; Jang, Mooseok; Ye, Jong Chul, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.9931 - 9943, 2022-12

5
Quantitative susceptibility map reconstruction using annihilating filter-based low-rank Hankel matrix approach

Ahn, Hyun-Seo; Park, Sung-Hong; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.83, no.3, pp.858 - 871, 2020-03

6
Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis

Lee, Young-Beom; Lee, Jeonghyeon; Tak, Sungho; Lee, Kangjoo; Na, Duk L.; Seo, Sang Won; Jeong, Yong; et al, NEUROIMAGE, v.125, pp.1032 - 1045, 2016-01

7
Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning

Jacob, Mathews; Mani, Merry P.; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.37, no.1, pp.54 - 68, 2020-01

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