mojingmiao

conv-tt-lstm

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

demo

demo1

algorithm for nmf

facial-expression-recognition-using-cnn

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Hyperspectral-Image-Denoising

It is used to denoised hyperspectral image by using total variation and tikhonov regularization

Hyperspectral-Image-Restoration-via-Total-Variation-Regularized-Low-rank-Tensor-Decomposition

code of Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

Learn-Statistical-Learning-Method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

lhy_DL_Hw

mojingmiao/demo1

algorithm for nmf

mojingmiao/Hyperspectral-Image-Restoration-via-Total-Variation-Regularized-Low-rank-Tensor-Decomposition

code of Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

mojingmiao/lhy_DL_Hw

mojingmiao/conv-tt-lstm

mojingmiao/CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

mojingmiao/Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

mojingmiao/demo

mojingmiao/facial-expression-recognition-using-cnn

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

mojingmiao/Hyperspectral-Image-Denoising

It is used to denoised hyperspectral image by using total variation and tikhonov regularization

mojingmiao/Learn-Statistical-Learning-Method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

mojingmiao/Low-Rank-Completion

Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation

mojingmiao/Low-rank_Matrix-completion

low rank matrix recovery by minimizing matrix norm

mojingmiao/lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

mojingmiao/LRSpNM

LRSpNM is a novel matrix completion method, which utilizes Schatten-p norm minimization model combined with Laplacian regularization terms to improve prediction performance in the new drug/target cases. The code in this package implements LRSpNM for drug-target interaction prediction, which is implemented in Matlab2016a.

mojingmiao/machine_learning_derivation

notes of machine learning algorithm derivation

mojingmiao/machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mojingmiao/MachineLearning-1

《统计学习方法》相关的机器学习实现代码。Machine Learning.

mojingmiao/manifoldAlgorithm

流形学习算法ISOMAP与LLE的matlab代码

mojingmiao/MCWNNM-ICCV2017

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

mojingmiao/MSS

Implementing the MSS method in the paper "A Unified Convex Surrogate for the Schatten-p Norm. Chen Xu, Zhouchen Lin, Hongbin Zha. AAAI 2017"

mojingmiao/NMFLibrary

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0

mojingmiao/pcc

Resources for Python Crash Course, from No Starch Press.

mojingmiao/Robust-Low-rank-Tensor-Ring-Completion

This project aims to realize the robust tensor completion algorithms via tensor ring decomposition.

mojingmiao/Schatten-p_Codes

code of top published work

mojingmiao/tensor

matlab code for convex optimization based tensor decomposition (completion/denoising)

mojingmiao/Tensor-Factorization-with-Total-Variation-and-Tikhonov-Regularization-for-Low-Rank-Tensor-Completion

code of Tensor Factorization with Total Variation and Tikhonov Regularization for Low-Rank Tensor Completion in Imaging Data

mojingmiao/TensorCompletion

A collection of tensor completion algorithms

mojingmiao/TNML

Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

mojingmiao/TRLRF

Tensor ring low-rank factors (AAAI 2019)