Continuously Adaptive Similarity Search
Similarity search is the basis for many data analytics techniques, including k-nearest neighbor classification and outlier detection. Similarity search over large data sets relies on i) a distance metric learned from input examples and ii) an index to speed up search based on the learned distance me...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Association for Computing Machinery (ACM)
2021
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| Online Access: | https://hdl.handle.net/1721.1/130067 |