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Resolution enhancement of tri-stereo remote sensing images by super resolution methods
Implementations of different matlab functions for research in hyperspectral data.
matlab scripts to remove intense impulse noise from grey scale images
we proposed a type of inductive matrix completion with trace norm regularizer, and presented two practical method for solving trace norm based IMC optimization problem. Using two different tasks and four different benchmark tasks, We showed the max-norm can often be superior to established trace-norm regularization.
A non-convex algorithm for inductive matrix completion
An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion
Inverse Problems in Medical Imaging (UCL course)
Two-step algorithm for accurate localization of static nodes in the IoT networks, consisting of the recovery of incomplete range measurement matrix based on low-rank matrix completion, and node positioning by semi-definite programming
The matlab code is for the paper ''Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix''.
Convex geometry and K-medoids based noise-robust endmember extraction algorithm
Collaborative Representation Based on Metric Learning and Local Enhancement for Hyperspectral Image Classification
Matlab code for hyperspectral image classification based on JSaCR (IEEE GRSL, 2017)
Kurtosis-based Smooth NMF for Hyperspectral Unmixing
Group Sparse Representation for Kronecker Compressive Sensing, Image Process. Image Under. (IPIU) 2016
This project implements the K-Means algorithm for unsupervised classification. It specifically groups the colors of an image into color means, an application of which would be image compression.
Kronecker technique for improving quality of the signal in compressive sensing recovery
Multidimensional Dictionary Learning
Implementation of the paper "Mesh Denoising via L0 Optimization"
This repository contains alternating optimization algorithms for L1-norm tucker decomposition
Satellite Remote Sensing Technology for Lake Monitoring
This demo reproduces the results reported in the paper "A Graph Laplacian regularization for Hyperspectral data unmixing" - ICASSP 2015
This code implements sparsity-regularized spectral unmixing of hyperspectral images
MATLAB code for NIPS 2016 paper "Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling"
Link prediction via matrix completion (published in EPL, (2017): 38002)
Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, and Ahmed Alkhateeb, published in IEEE Access, March 2021.
A low-level vision zoo for dehazing, deblurring, denoising, deraining, inpainting, color enhancement, brightening, and super resolution .
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.