Operating Principle and Device Configuration Driven Mechanisms in Low-Dimensional Materials for Neuromorphics.
Taimur AhmedVaishnavi KrishnamurthiArnan MitchellSumeet WaliaPublished in: Adv. Intell. Syst. (2023)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- data points
- high dimensional data
- input space
- principal component analysis
- data driven
- euclidean space
- manifold learning
- dimension reduction
- optimal configuration
- vector space
- learning materials
- data acquisition
- linear dimensionality reduction
- nonlinear dimensionality reduction
- feature space
- linear subspace
- latent space
- nearest neighbor
- mechanisms underlying
- data analysis