Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding.
Huynh Van LuongBoris JoukovskyNikos DeligiannisPublished in: IEEE Trans. Image Process. (2021)
Keyphrases
- recurrent neural networks
- feed forward
- neural network
- echo state networks
- recurrent networks
- reservoir computing
- video frames
- video sequences
- artificial neural networks
- cascade correlation
- complex valued
- video data
- long short term memory
- feedforward neural networks
- video streams
- video content
- multimedia
- real time
- video clips
- video retrieval
- video analysis
- neural model
- petri net
- image reconstruction
- key frames
- discrete tomography
- hebbian learning
- space time
- three dimensional