InK-Compact: In-Kernel Stream Compaction and Its Application to Multi-Kernel Data Visualization on General-Purpose GPUs.
David Meirion HughesIk Soo LimMark W. JonesAaron KnollBen SpencerPublished in: Comput. Graph. Forum (2013)
Keyphrases
- data visualization
- multi kernel
- general purpose
- multiple kernel learning
- gaussian kernels
- graph embedding
- visual data mining
- data analysis
- data mining
- knowledge discovery
- data streams
- kernel function
- big data
- kernel methods
- linear combination
- kernel learning
- data sets
- semi supervised learning
- reproducing kernel hilbert space
- gaussian kernel
- support vector