Boosting multi-kernel Locality-Sensitive Hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for similarity search in high-dimensional space, Locality-Sensitive Hashing (LSH) is the most popular one, which recently has bee...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2012
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2343 https://ink.library.smu.edu.sg/context/sis_research/article/3343/viewcontent/Boosting_Multi_Kernel_Locality_Sensitive_Hashing_for_Scalable_Image_Retrieval.pdf |
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| Institution: | Singapore Management University |
| Language: | English |