MATLAB Source Code Implementation for Training Samples in Support Vector Machines
MATLAB source code implementation for training sample processing in Support Vector Machine (SVM) classification algorithm
MATLAB Toolbox for Support Vector Machines
A comprehensive MATLAB toolbox for Support Vector Machines featuring classification, regression fitting functionalities, and detailed implementation insights - perfect for academic research and practical applications!
Face Recognition with 2D Principal Component Analysis and Support Vector Machine
A novel approach for solving facial recognition problems by integrating two-dimensional Principal Component Analysis (2DPCA) for efficient feature vector extraction with Support Vector Machine (SVM) as a robust classification discriminant method. Experimental implementation involves database validation with results demonstrating significant classification rate improvements through optimal feature dimensionality reduction and kernel-based pattern separation.
Classification Toolbox
A comprehensive classification toolbox featuring MATLAB source code implementations for Support Vector Machines, Neural Networks, Principal Component Analysis, Multivariate Splines, along with detailed user manuals and technical documentation.
SVM Prediction Interface for MATLAB Implementation
User interface for Support Vector Machine predictions using MATLAB, featuring data handling and model configuration capabilities for practical machine learning applications.
SVM-Based Target Recognition Algorithm for Radar High-Resolution Range Profiles
This support vector machine (SVM)-based radar target recognition algorithm for high-resolution range profiles (HRRP) delivers exceptional resolution performance, with implementations featuring robust feature extraction and classification pipelines.
Wind Speed Prediction Using Support Vector Machines
Utilizing Support Vector Machines for wind speed prediction to enhance wind power generation applications, improving the reliability of wind power forecasting through machine learning implementation.
MATLAB Implementation for Face Recognition with Demographic Feature Extraction
Face recognition system implementing gender and age feature extraction using MATLAB, with Support Vector Machine (SVM) classification for enhanced recognition accuracy
MATLAB Implementation of Support Vector Machine with Code Examples
Support Vector Machine source code implementation using libsvm for classification, featuring parameter optimization techniques including kernel selection and C-value tuning
MATLAB Implementation of Support Vector Machine Algorithm with Code Examples
Reference MATLAB source code for Support Vector Machine implementation, featuring comprehensive algorithmic explanations and key function descriptions