Speeding-up CNN inference through dimensionality reduction.
Lucas Fernández BrilletNicolas LeclaireStéphane ManciniSébastien Cleyet-MerleMarina NicolasJean-Paul HenriquesClaude DelnondedieuPublished in: DASIP (2019)
Keyphrases
- dimensionality reduction
- cellular neural networks
- low dimensional
- feature selection
- high dimensional data
- high dimensional
- principal component analysis
- linear discriminant analysis
- structure preserving
- pattern recognition and machine learning
- inference process
- feature space
- pattern recognition
- probabilistic inference
- feature extraction
- random projections
- data representation
- high dimensionality
- manifold learning
- principal components
- bayesian networks
- bayesian inference
- kernel pca
- expert systems
- locally linear embedding
- convolutional neural network
- lower dimensional
- random fields
- probabilistic model
- image processing