Explore MATLAB source code curated for "增量学习" with clean implementations, documentation, and examples.
This work focuses on improving extreme learning machine algorithms by incorporating incremental learning capabilities, enabling dynamic adaptation to new data streams while maintaining computational efficiency through optimized weight updating mechanisms.
A MATLAB implementation of online SVM incremental learning leveraging the built-in SVMTrain function for model training with support for continuous parameter updates.
MATLAB source code for Incremental Learning for Robust Visual Tracking algorithm, published in International Journal of Computer Vision (IJCV), Volume 77, Issues 1-3, pages 125-141, 2008. Features real-time object tracking implementation with online learning capabilities.
Implementation of Incremental Learning-based Robust Visual Tracking with Online Model Adaptation
An Incremental Face Recognition Algorithm - Incremental PCA Learning Algorithm
MATLAB Code Implementation of the CCIPCA Algorithm with Detailed Explanations
The Famous Incremental PCA Algorithm