Shift Invariant Visual Pattern Learning and Recognition
位移不变的视觉模式在线学习和识别

This paper outlines a self organizing neural network model,called ART Cognizer,that automatically learns to classify visual patterns into recognition categories.It has the ability of tolerance to shift and scale variance of paterns,and the ability of self stabilizing the self organizing learning process,hence it can learn new patterns on line without degrading its corpus of memories.