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QUAD: Quadratic-Bound-based Kernel Density Visualization

Summary: QUAD derives quadratic KDE bounds for Gaussian/triangular kernels to speed KDE visualization on large data and high-res screens. Progressive visualization streams partial results for KDV on CPU, yielding about 10x speedup with preserved quality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5774
Venue
SIGMOD
Year
2020
Pagerank
6.5793715e-05
Overall Rank
3,968 | 72.40%
DOI
10.1145/3318464.3380561

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