Gaussian Mixture Model Parameter Estimation Using Expectation-Maximization Algorithm
Implementation of Expectation-Maximization (EM) algorithm for Gaussian Mixture Model parameter estimation with MATLAB optimization techniques
Explore MATLAB source code curated for "高斯混合模型" with clean implementations, documentation, and examples.
Implementation of Expectation-Maximization (EM) algorithm for Gaussian Mixture Model parameter estimation with MATLAB optimization techniques
MATLAB code implementation for Gaussian Mixture Model (GMM) based background modeling with detailed algorithm explanation and optimization techniques
An enhanced training algorithm for Gaussian Mixture Models implementing improved initialization and momentum-based EM optimization.
MATLAB implementation of Gaussian Mixture Model (GMM) for background subtraction and skin detection with enhanced code descriptions
Gaussian Mixture Model Parameter Initialization with K-means Approach