Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention.
Sia Huat TanRunpei DongKaisheng MaPublished in: CoRR (2021)
Keyphrases
- classification accuracy
- network architecture
- computationally efficient
- data flow
- machine learning
- classification algorithm
- automatic classification
- support vector machine svm
- image classification
- mobile telecommunications
- pattern classification
- network traffic
- feature selection
- decision trees
- support vector
- highly efficient
- neural network
- abstraction layer
- application level
- radial basis function network
- network management
- feature extraction
- biologically inspired
- text classification
- classification method
- feed forward
- management system
- support vector machine
- model selection
- future internet
- recurrent networks
- spiking neural networks
- network infrastructure
- training samples
- feature vectors
- complex networks
- network model
- peer to peer
- training set
- recurrent neural networks