The CRO kernel: Using Concomitant Rank Order hashes for sparse high dimensional randomized feature maps.
Kave EshghiMehran KafaiPublished in: ICDE (2016)
Keyphrases
- feature maps
- high dimensional
- rank order
- kernel function
- feature space
- low dimensional
- input space
- dimensionality reduction
- order statistics
- similarity search
- final result
- data points
- high dimensionality
- high dimensional data
- training samples
- saliency map
- precision recall
- support vector
- nearest neighbor
- hyperplane
- feature vectors
- self organizing maps
- support vector machine
- data sets
- term weighting
- knn
- multiscale