A Low-Dimensional Function Space for Efficient Spectral Upsampling.
Wenzel JakobJohannes HanikaPublished in: Comput. Graph. Forum (2019)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- higher dimensional
- input space
- high dimensional data
- lower dimensional
- euclidean space
- principal component analysis
- space time
- manifold learning
- data points
- vector space
- machine learning
- laplacian matrix
- multidimensional scaling
- linear space
- nonlinear dimensionality reduction
- parameter space
- search space
- feature space
- image processing