Associative Memories in the Feature Space.
Tommaso SalvatoriBeren MillidgeYuhang SongRafal BogaczThomas LukasiewiczPublished in: CoRR (2024)
Keyphrases
- associative memory
- feature space
- kernel methods
- storage capacity
- alpha beta
- principal component analysis
- mean shift
- auto associative
- bi directional
- dimensionality reduction
- high dimensional
- high dimensionality
- neural network
- input space
- kernel function
- feature vectors
- image representation
- support vector machine
- training set
- kohonen feature map
- processing elements
- feature extraction
- classification accuracy
- neural network model
- image retrieval
- human memory
- data points
- parallel algorithm
- hardware architecture
- feature set
- data sets
- low dimensional