Explore MATLAB source code curated for "性别分类" with clean implementations, documentation, and examples.
Professor Zhang Xuegong's Pattern Recognition First Assignment: Implementing gender classification on height-weight 2D data using Bayesian method and supervised parameter estimation of normal distribution
The human face contains rich information that facilitates adaptive social interactions between individuals. In fact, people process facial information through multiple approaches to categorize faces by identity and various demographic characteristics such as gender, ethnicity, and age. This description explores how gender classification can be implemented using computer vision techniques and deep learning algorithms.
Implementation of neural network algorithms for personality recognition through image analysis using deep learning approaches
Comparison of Fisher and Bayes classifiers for pattern recognition applications, with MATLAB implementation insights for binary classification tasks like gender identification.
Implementation of AMDF algorithm for pitch period extraction with gender classification based on fundamental frequency analysis