Four algorithms to construct a sparse kriging kernel for dimensionality reduction.
Christophette Blanchet-ScallietCéline HelbertMélina RibaudCéline VialPublished in: Comput. Stat. (2019)
Keyphrases
- dimensionality reduction
- data structure
- computational cost
- computationally efficient
- optimization problems
- pattern recognition
- learning algorithm
- black box
- significant improvement
- high dimensional
- computational complexity
- image processing
- feature selection
- linear combination
- computer vision
- theoretical analysis
- machine learning algorithms
- high dimensionality
- machine learning
- data representation