Locality Sensitive Indexing for Efficient High-Dimensional Query Answering in the Presence of Excluded Regions
abstract: Similarity search in high-dimensional spaces is popular for applications like image processing, time series, and genome data. In higher dimensions, the phenomenon of curse of dimensionality kills the effectiveness of most of the index structures, giving way to approximate methods like L...
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| Format: | Dissertation |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/2286/R.I.36534 |