Applying the insight into superlattices and quantum wells for nanostructures: Low-dimensional structures and devices.
Raphael TsuPublished in: Microelectron. J. (2007)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- input space
- manifold learning
- high dimensional data
- principal component analysis
- dimension reduction
- quantum computing
- low cost
- data points
- embedded systems
- euclidean space
- boundary conditions
- nonlinear dimensionality reduction
- feature vectors
- sparse representation
- feature space
- support vector
- face recognition
- multidimensional scaling
- feature selection