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Hyperspectral Unmixing With Gaussian Mixture Model And Spatial Group Sparsity
X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.
Matlab code for estimating Hyperspectral data from RGB/Multispectral images
Prediction of circRNA-disease associations based on inductive matrix completion.
Prediction of lncRNA-disease associations based on inductive matrix completion
Implementation of SimpleLocal for Local Cut Improvement in Graphs
dip final project
A collection of high-impact and state-of-the-art SR methods
Structured Light Compressive Sensing Project
An implementation of the spatial lasso technique for HSI(Hyperspectral Biomedical Images) unmixing
Spectral clustering experiment of Normalize graph cut
Spectral Clustering - unsupervised classification technique
Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth
We put the matlab code of our algorithms SVFW-M and SPIDER-FW-M in AAAI 2020 to implement the low-rank matrix completion experiment here.
Create a spider or radar plot with individual axes.
Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion
Smoothed rank function for matrix completion
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)
Source for various Semi Supervised graph labelling methods that I wrote for experimenting with Harmonic Energy Minimization, linear programming for max-flow/min-cut and quadratic programming for Graph Laplacian methods
用 MATLAB 实现深度学习网络中的 stacked auto-encoder:使用AE variant(de-noising / sparse / contractive AE)进行预训练,用BP算法进行微调
The Source code & paper for Statistical Signal Processing Project2 Matrix Completion
Implementation of the STOne transform for compressed sensing video
An Iterative Method for Structured Matrix Completion
the code is for the paper Image Completion Using Low Tensor Tree Rank and Total Variation Minimization
Sparse unmixing of hyperspectral data with bandwise model
mainly aimed at scalable subspace clustering
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.