A01One shot learning based on computational theory of higher visual cortex

 One shot learning is one of the most amazing generalization capabilities of the brain. For　example, we can recognize someone’s face in any orientation after we learn only one　example of that person’s face. While one shot learning has long been a challenging problem　in AI research, it has not yet seen a definite algorithm. In this research plan, we aim at　developing a high-performance one-shot learning algorithm by fusing neuroscientific　findings in higher visual cortex and machine learning techniques including deep generative　models.