GPU-accelerated co-design of induced dimension reduction: algorithmic fusion and kernel overlap.
Hartwig AnztEduardo PonceGregory D. PetersonJack J. DongarraPublished in: Co-HPC@SC (2015)
Keyphrases
- dimension reduction
- gpu accelerated
- feature space
- principle component analysis
- finite element
- principal component analysis
- feature extraction
- real time
- random projections
- high dimensional
- low dimensional
- manifold learning
- kernel function
- high dimensionality
- feature selection
- singular value decomposition
- support vector
- linear discriminant analysis
- unsupervised learning
- partial least squares
- kernel methods
- high dimensional data
- dimensionality reduction
- preprocessing
- high dimensional problems
- sequence alignment
- multiple features
- kernel trick
- qr decomposition
- dimension reduction methods
- cluster analysis
- multiple kernel learning
- pattern recognition
- training data
- decision trees