Highly comparative time-series analysis
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Updated
Sep 10, 2024 - MATLAB
Highly comparative time-series analysis
Python (Pytorch) and Matlab (MatConvNet) implementations of CVPR 2021 Image Matching Workshop paper DFM: A Performance Baseline for Deep Feature Matching
[IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
Heart sounds segmentation based on LSTM neural network and Fourier Synchrosqueezed Transform.
A basic framework for pulmonary nodule detection and characterization in CT
A feature extraction toolbox for EMG signals written in MATLAB
MATLAB implementation of ORB (oriented fast rotated brief) without opencv mex
Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.
Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/
Face Spoofing Detection Using Texture Analysis
Paddy Leaf Disease Detection Using SVM Classifier - Matlab Code
This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).
A system to recognize hand gestures by applying feature extraction, feature selection (PCA) and classification (SVM, decision tree, Neural Network) on the raw data captured by the sensors while performing the gestures.
Weekly graded projects of the "Computer Vision" course, ETH Zürich (Fall 2020).
A superpixel-based relational auto-encoder for feature extraction of hyperspectral images
This repository is the open source code for our latest feasibility work: "Human Anomalous Gait Termination Recognition Via Through-the-Wall Radar Based on Micro-Doppler Corner Features and Non-Local Mechanism", published on Journal of Radars ("基于微多普勒角点特征与Non-Local机制的穿墙雷达人体步态异常终止行为辨识技术", 雷达学报).
This system can match human face over a webcam against the pictures stored in a database, primarily by matching facial features such as face, nose and eyes.
A set of from-scratch MATLAB scripts for detecting Harris corners and edges
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