Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings.
Yang LiRasoul ShafipourGonzalo MateosZhengwu ZhangPublished in: GlobalSIP (2019)
Keyphrases
- video codec
- graph theoretic
- decoding process
- low complexity
- distributed video coding
- error control
- latent space
- wyner ziv video coding
- noisy channel
- rate distortion
- wyner ziv
- video coding
- motion estimation
- successive approximation
- mpeg avc
- graph theory
- conformal mapping
- video coding scheme
- distributed source coding
- low dimensional
- low bit rate
- bit rate
- turbo codes
- rate allocation
- video encoder
- video compression
- human brain
- motion compensated prediction
- transform domain
- motion compensated
- euclidean space
- manifold learning
- gaussian process latent variable models
- latent variables
- bit rate reduction