PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce.
Sergej FriesBrigitte BodenGrzegorz StepienThomas SeidlPublished in: ICDE (2014)
Keyphrases
- vector data
- high dimensional
- map reduce
- aerial images
- image space
- cloud computing
- low dimensional
- similarity measure
- spatial data
- similarity search
- parameter space
- distance measure
- satellite imagery
- nearest neighbor
- multi dimensional
- geospatial data
- feature space
- distance function
- urban areas
- image quality
- high dimensional data
- databases
- dimensionality reduction
- data points
- query processing
- database systems
- image processing