Multiple Instance Learning Algorithms Package

This comprehensive Multiple Instance Learning algorithm package includes diverse methods like Diverse Density (DD) and k-Nearest Neighbors (k-NN) implementations, featuring code structures for bag-level classification and instance-space modeling essential for computer vision research.