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bayesian_vid_sr

implementation of a bayesian video super-resolution

bcnn

Bayesian Convolutional Neural Networks for Compressed Sensing Restoration

bcs

Bayesian Compressive Sensing and Multi-task Compressive Sensing

bdcnn

Blind Denoising of Mixed Gaussian-impulse Noise by Single CNN

betacompositionalmodel

Beta Compositional Model for Hyperspectral Unmixing

bgcs

Bayesian Group-sparse Compressed Sensing Toolbox (FG 2015)

bgs-gcut

Graph-cut based background subtraction

bimc

Drug Repositioning based on the target microRNAs using Bilateral-Inductive Matrix Completion

blind-inpainting-l0-tv

Blind Inpainting using l0 and TV regularization

blind_remote_sensing

Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation

bnnr

BNNR is a novel computational method, which utilizes Bounded Nuclear Norm Regularization algorithm to identify potential novel indications for known or new drugs. The code in this package implements Bounded Nuclear Norm Regularization (BNNR) for drug repositioning, which is implemented in Matlab2014a.

boundedline-pkg

Plot line(s) with error bounds/confidence intervals/etc. in Matlab

brain-plots

Quickly and easily create 2d and 3d plots of fMRI data (using MATLAB).

btotcode

Matlab code for the paper "Remote sensing image compression based on binary tree and optimized truncation" published on Digital Signal Processing, 2017

canonical-system-identification

Nonlinear System Identification via Tensor Completion

capstone

Tensor completion for data visualization

catadioptric-hyperspectral-imaging-an-unmixing-approach

Matlab code of spatial-contextual unmixing approach for catadioptric hyperspectral data

ceng-407-408-2017-2018-project-blood-vessel-segmentation

ceng-407-408-project-blood-vessel-segmentation created by GitHub Classroom

classification_of_hyperspectral_images_based_on_deep_boltzmann_machines

clique_bs

clustering--c-means

Fuzzy c-means clustering algorithm for remote sensing images

clustering_methods

The aim of this project is to implement different conventional clustering methods to achieve unsupervised data classification.

cmn_adm

Continuous_Mixed_Norm_for_Impulsive_Noise_Cancellation

cnn-for-crack-detection

An application of CNN for crack detection using Caffe

cnn-fus

The code of paper: Renwei Dian, Shutao Li, and Xudong Kang, “Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser,” IEEE Transactions on Neural Networks and Learning Systems. 2020.

cnnm

matlab code for tensor-valued time series forecasting and completion

cnn_keras

CNN implementations with Keras

code-for-image-fusion-

This repository will list some codes of image fusion, including infrared and visible image fusion, medical image fusion, multi-focus image fusion, and multi-exposure image fusion.

codes-of-deep-learning-based-matrix-completion

codes-of-polynomial-matrix-completion-in-aaai-2020