TY - JOUR AU - Nishino, Kaneharu AU - Inaba, Mary PY - 2018/04/29 Y2 - 2024/03/29 TI - Constructing Hierarchical Bayesian Networks With Pooling JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 32 IS - 1 SE - Student Abstract Track DO - 10.1609/aaai.v32i1.12191 UR - https://ojs.aaai.org/index.php/AAAI/article/view/12191 SP - AB - <p> Inspired by the Bayesian brain hypothesis and deep learning, we develop a Bayesian autoencoder, a method of constructing recognition systems using a Bayesian network. We construct hierarchical Bayesian networks based on feature extraction and implement pooling to achieve invariance within a Bayesian network framework. The constructed networks propagate information bidirectionally between layers. We expect they will be able to achieve brain-like recognition using local features and global information such as their environments. </p> ER -