Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles.
Martin BjerkeLukas SchottKristopher T. JensenClaudia BattistinDavid A. KlindtBenjamin A. DunnPublished in: CoRR (2022)
Keyphrases
- neural network
- feature space
- feature vectors
- feature set
- benchmark datasets
- coding scheme
- low level
- network architecture
- decision trees
- feature extraction
- co occurrence
- information sharing
- relative strengths and weaknesses
- arbitrary dimension
- neural model
- inter frame
- classification models
- image classification
- video sequences