Neuroscience-inspired recurrent network for object recognition.
Jia-Ren ChangPo-Chih KuoYong-Sheng ChenPublished in: ISPACS (2017)
Keyphrases
- recurrent networks
- object recognition
- recurrent neural networks
- biologically inspired
- feed forward
- scene classification
- computer vision
- image understanding
- cognitive science
- neural network
- signal processing
- human brain
- spiking neural networks
- object categories
- object class
- cognitive robotics
- real time
- constrained search
- image features
- feature matching
- natural images
- object classification
- cognitive processes
- image interpretation
- computational neuroscience
- d objects
- recognition scheme
- object detection
- feature detection
- template matching
- object categorization
- graph matching
- general intelligence
- information processing
- back propagation