Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning.
Jaehun KimSung-Phil KimJungjun KimHeeseon HwangJaehyun KimDoowon ParkUnyong JeongPublished in: SMC (2020)
Keyphrases
- object shape
- unsupervised learning
- spiking neural networks
- biologically inspired
- object boundaries
- object segmentation
- shape representation
- biologically plausible
- supervised learning
- object localization
- learning rules
- semi supervised
- artificial neural networks
- feed forward
- object models
- dimensionality reduction
- object surface
- shape variations
- appearance model
- neural network
- machine learning
- object recognition
- text classification
- range data
- expectation maximization
- bounding box
- feature selection
- active contours
- object model
- model selection
- particle filter
- data points
- reinforcement learning
- feature extraction