HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification.
Gourav DattaSouvik KunduAkhilesh R. JaiswalPeter A. BeerelPublished in: CoRR (2021)
Keyphrases
- energy efficient
- hyperspectral image classification
- spiking neural networks
- training algorithm
- hyperspectral
- biologically inspired
- active learning
- hyperspectral images
- wireless sensor networks
- energy consumption
- sensor networks
- feed forward
- nearest neighbor
- learning rules
- artificial neural networks
- biologically plausible
- neural network
- multispectral
- hyperspectral data
- base station
- back propagation
- motor control
- energy efficiency
- routing algorithm
- routing protocol
- sensor nodes
- mobile users
- remote sensing
- pattern recognition
- image processing
- machine learning
- support vector machine
- learning algorithm