Recognition for AER Objects Based on Hierarchical Feature Construction
Author:
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University,Tianjin,China,300072
2. Qiushi Honors College, Tianjin University,Tianjin,China,300072
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901538.pdf?arnumber=9901538
Reference17 articles.
1. Hierarchical models of object recognition in cortex
2. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
3. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
4. Bag of events: An efficient probability-based feature extraction method for AER image sensors;peng;IEEE Transactions on Neural Networks and Learning Systems,2016
5. Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network
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