PCA Eigenface Training and Reconstruction System
Advanced PCA eigenface training and reconstruction program with robust implementation for facial recognition applications
Explore MATLAB source code curated for "下载" with clean implementations, documentation, and examples.
Advanced PCA eigenface training and reconstruction program with robust implementation for facial recognition applications
Automated image stitching and blending implementation using SIFT algorithm for feature matching - serves as a fundamental learning resource for panoramic image stitching, available for download and review
This program provides a logistic regression classification implementation with comprehensive usage instructions, offering a downloadable reference for binary classification tasks.
RBF Neural Network implementation for classification and regression tasks, featuring practical code examples and key algorithmic explanations - highly recommended for download
Complete MATLAB implementation of Chicken Swarm Optimization algorithm with detailed code explanations. Features comprehensive comments, parameter descriptions, and test cases for practical learning and optimization problem-solving applications.
A complete and practical MATLAB genetic algorithm program featuring diverse optimization functions, selection mechanisms, and crossover operations, ideal for evolutionary computation projects. Ready-to-use code available for download.
This MATLAB-based implementation demonstrates video tracking using the frame difference method, including a test video sample and comprehensive documentation. The provided code and resources are ready-to-run in MATLAB environment for immediate experimentation.
Image display functions with practical code implementation - useful for digital image processing and computer vision applications. Download and explore image visualization techniques!
A high-quality robot trajectory tracking program featuring advanced control algorithms and PID implementations – ideal for robotics learning and development
An efficient, ready-to-run HMM-GMM code implementation complete with speech datasets. This beginner-friendly example contains no technical barriers and provides clear insights into hidden Markov models combined with Gaussian mixture models for speech processing applications.