AVBH: Asymmetric Learning to Hash with Variable Bit Encoding
Nearest neighbour search (NNS) is the core of large data retrieval. Learning to hash is an effective way to solve the problems by representing high-dimensional data into a compact binary code. However, existing learning to hash methods needs long bit encoding to ensure the accuracy of query, and lon...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2020-01-01
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| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2020/2424381 |