Space and time efficient kernel density estimation in high dimensions
Recently, Charikar and Siminelakis (2017) presented a framework for kernel density estimation in provably sublinear query time, for kernels that possess a certain hashing-based property. However, their data structure requires a significantly increased super-linear storage space, as well as super-lin...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Morgan Kaufmann Publishers
2021
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| Online Access: | https://hdl.handle.net/1721.1/129407 |