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amath-515-code

Useful code such as proxgrad, FISTA,ADMM, coordinate descent (all for lasso) plus projection onto unit ball... from AMATH 515

anomaly-detection-in-hyperspectral-images-based-on-low-rank-and-sparse-representation

bachelor-thesis-compressive-sensing-in-smart-grids-monitoring-systems

Smart Grid (SG) technology transforms the traditional power network from a physical level into systems that comprise two levels side by side, the physical and the informative. Collecting, transferring and analyzing an enormous amount of data that can be acquired by different nodes in the network, together with the uncertainty caused by distributed power generators, challenges standard methods for safety and monitoring in future SGs. This thesis presents an effective dynamic solution for SG monitoring by combining concepts related to Compressive Sensing (CS) and Sparse Recovery (SR). Following a preliminary analysis of the stated concepts, a study is proposed to implement a SG model in MATLAB, with the aim to show and finally to compare some applications of CS - SR algorithmic techniques that are going to obtain effective problem solutions.

bioinspiredalgorithms

brain-tumor-classification-and-detection-machine-learning

Refining the Accuracy and Efficiency to classify brain tumor images into malignant and benign using Matlab

brain-tumor-classification-project-using-svm

In this project, we'll be going to input the Brain MRI image and run our machine learning algorithm (SVM) to classify in which category, the tumor lies in.

brain-tumor-detection-and-classification

Brain Tumor Detection and Classification is an application build to classify an MRI scan of the brain into malignant types of Glioblastoma Multiforma and High-Grade Glioma and benign types of Meningioma and Pituitary Adenoma.

brain-tumor-segmentation-and-classification

Brain tumor segmentation using FCM integrated level set method and classification based on SVM

brain-tumor-segmentation-using-deep-learning

#BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras

brain-tumour-detection

This is my ongoing project. In this project i will detect tumor region in brain. I will also try to calculate the area of the tumor region part .To do the project i am considering dataset of 187 MRI images. Fuzzy C-means clustering is used for the segmentation of the image to detect the suspicious region in the brain MRI image. I am applying SVM technique to classify the brain MRI image.

braintumorclassification-1

brats-preprocessing

MATLAB scripts to convert .mhd files into .jpgs by writing to folders specified by user, primarily for BRATS dataset. [not the most efficient!]

breast-cancer-classification

cancer-detection-in-matlab

Pattern Recognition Term Project

cancercelldetectionandclassificationusingcnn

cdlmri

Coupled Dictionary Learning based Multi-contrast MRI Reconstruction

cmvr

Detect CMVR from regular eye image, using Sparse Coding, Dictionary Learning and SVM.

compressed-sensing

Compressed Sensing using NMF

compressed-sensing-code

自己搜集和改写的压缩感知相关程序代码

compressed-sensing-diffusion-lung-mri

Compressed-sensing-diffusion-lung-MRI

compression-dct

Implementation of Image compression using DCT

compressive-sensing-denoising

Compressed sensing and denoising of images using sparse representations

compressiveflows

Implementation of ICCV 2019 paper "Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations"

compressivesensingdictionarylearning

Compressive Sensing using Sparse Dictionary Learning

cqubeamer

重庆大学Beamer模板 --- CQUBeamerTemplate

crackdetection_with_compressivesensing

This is a dictionary based method to detect cracks and loads on beems, truss and plates. This uses compressed accelerometer responses for the dictionary and uses COMPRESSIVE SENSING to compress and extract the data

cs_lca

Compressive Sensing via Locally-Competitive Neural Network

cs_moco_lab

Compressed Sensing and Motion Correction LAB: An MR acquisition and reconstruction system

csensing

Matlab code for compressive sensing

csradar

Compressed Sensing for improved radar target classification