提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.

Hyperspectral image Target Detection based on Sparse Representation

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of clas…

Matlab library for gradient descent algorithms: Version 1.0.1

MATLAB implementation of a basic HOG + SVM pedestrian detector.

A general matlab framework for EEG data classification

This is the page for the book Digital Signal Processing with Kernel Methods.

My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.

MSc Project: Quantifying Stress Pattern. A 9-month individual research project, as a part of my MSc Communication & Signal Processing at Imperial College London. (ECG, HRV, SVM, LSTM, MATLAB)

Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB dataset

This demo shows how to detect the crack images using one-class SVM using MATLAB.

Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.

A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS

SVM implementation using CVX for Convex Optimization class

Multi-classification problem, svm, knn, matlab

Matlab scripts that implement necessary algorithmic procedures to automatically color a black and white image. In particular, you need to develop code to perform some computing activities:

This research uses computer vision and machine learning for implementing a fixed-wing-uav detection technique for vision based net landing on moving ships. A rudimentary technique using SIFT descriptors, Bag-of-words and SVM classification was developed during the study.

This repo is for anyone who wants help in understanding and solving Andrew Ng's Coursera Course on Machine Learning Assignments and Quizes. (YEAR 2020)

Hepatitis Disease Detection Using SVM,KNN,ANN Algorithms implemented in MatLab.