Algorithm for Computational Distribution in Facial Age Estimation Process
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During the implementation of facial age estimation using MATLAB, we employed an efficient algorithm for distribution calculation. This algorithm facilitates rapid and accurate facial age estimation through optimized computational methods. Our research team conducted extensive experiments and iterative improvements, enhancing the algorithm's computational efficiency and accuracy through techniques such as probability density function optimization and statistical feature extraction. The implementation leverages MATLAB's matrix operations and statistical toolbox functions to process facial features and calculate age distribution patterns. Through this algorithm, we can effectively analyze facial age distribution characteristics, providing valuable data support for research and applications in related fields. The core functionality includes feature normalization, probability distribution modeling, and age regression analysis using machine learning approaches.
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