Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions.
Sashank J. ReddiAaditya RamdasBarnabás PóczosAarti SinghLarry A. WassermanPublished in: CoRR (2014)
Keyphrases
- high dimensions
- intrinsic dimension
- high dimensional spaces
- high dimensional data
- high dimensional
- euclidean distance
- average distance
- weighted distance
- kernel function
- distance function
- support vector
- databases
- distance measure
- nearest neighbor
- indexing schemes
- optimal solution
- feature space
- poor quality
- data sets
- data analysis
- image processing
- real world
- machine learning
- computer vision
- feature selection
- metadata
- pattern recognition
- image classification
- multi dimensional
- query processing