Cherylsu's starred repositories
els-cas-templates
Elsevier template 'els-cas-templates'.
onlineRPCA-matlab
Online Robust Principal Analysis - matlab version
Guaranteed-Tensor-Recovery-Fused-Low-rankness-and-Smoothness
The released code of t-CTV algorithms, mainly proposed in the paper "Guaranteed Tensor Recovery Fused Low-rankness and Smoothness"， published in TPAMI 2023
FRSVT
I implemented the fllowing article by Matlab.Refrence:Oh T H, Matsushita Y, Tai Y W, et al. Fast Randomized Singular Value Thresholding for Low-rank Optimization[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, PP(99):1-1.Abstract:Rank minimization can be converted into tractable surrogate problems, such as Nuclear Norm Minimization (NNM) and Weighted NNM (WNNM). The problems related to NNM, or WNNM, can be solved iteratively by applying a closed-form proximal operator, called Singular Value Thresholding (SVT), or Weighted SVT, but they suffer from high computational cost of Singular Value Decomposition (SVD) at each iteration. We propose a fast and accurate approximation method for SVT, that we call fast randomized SVT (FRSVT), with which we avoid direct computation of SVD. The key idea is to extract an approximate basis for the range of the matrix from its compressed matrix. Given the basis, we compute partial singular values of the original matrix from the small factored matrix. In addition, by developping a range propagation method, our method further speeds up the extraction of approximate basis at each iteration. Our theoretical analysis shows the relationship between the approximation bound of SVD and its effect to NNM
GoDec_plus
The matlab code for the paper 'GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy'
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
Fetal_PC_MRI
Reconstruction for radial PC MRI using Compressed Sensing, Motion Correction and Metric Optimized Gating
subimagemoco
Motion Correction of multi-shot MR data using sub images
fetal_cmr_cine_2d
fetal cardiac cine imaging using highly-accelerated dynamic MRI and retrospective motion correction
matlab_motion_correct
Matlab code for post-hoc motion correction. Some rely on mex files in mex_tools.
movement_regressors_power_plots
Correction of respiratory artifacts in MRI head motion estimates
motionSegmentation
Motion correction, explicit spatio-temporal regularization of motion tracking, random speckles enhancement, and segmentation.
oct-motion-correction
optical coherence tomography (oct) imaging motion artifacts correction
CS_MoCo_LAB
Compressed Sensing and Motion Correction LAB: An MR acquisition and reconstruction system
HOSVD-pytorch
A HOSVD implement in pytorch
tucker_compression
Volume compression using the Tucker/HOSVD tensor decomposition
spark-hosvd
Spark High Order SVD