Clustered principal components for precomputed radiance transfer.
Peter-Pike J. SloanJesse D. HallJohn C. HartJohn M. SnyderPublished in: ACM Trans. Graph. (2003)
Keyphrases
- principal components
- principal component analysis
- dimensionality reduction
- hyperplane
- multivariate data
- principal components analysis
- principal component regression
- transfer learning
- kernel space
- spectral data
- high dynamic range
- machine learning
- kernel principal component analysis
- illumination conditions
- feature extraction
- neural network
- correlation coefficient
- feature set
- feature space