The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data Classification
The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data Classification
Xiaobing Han,Yanfei Zhong,2 Authors,Liangpei Zhang
2015 · DOI: 10.1007/978-3-319-23344-4_16
Brain Informatics and Health · 27 Citations
TLDR
The proposed HCSAE treats different convolutional sparse auto-encoder (CSAE) in an unsupervised hierarchical mode, which helps to extract efficient and robust features and conserve abundant detail information for the neuroimaging classification.
