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feature-extraction

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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.

  • Updated Jun 27, 2020
  • MATLAB

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.

  • Updated Mar 17, 2019
  • MATLAB

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).

  • Updated Jan 16, 2024
  • MATLAB

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