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|Title:||Online weighted hashing for cross-modal retrieval||Authors:||Jiang, Zining||Keywords:||Engineering::Electrical and electronic engineering||Issue Date:||2022||Publisher:||Nanyang Technological University||Source:||Jiang, Z. (2022). Online weighted hashing for cross-modal retrieval. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158323||Abstract:||Online hashing algorithm that can process large-scaled multi-modal data in a streaming manner has a lot of attention recently. This work pursues further improvements using the weighted hamming distance, besides traditional label embedding learning and hash function learning. By learning different weights on each bit of binary hash codes, it can preserve more semantic information and therefore becomes more accurate for retrieving similar data.||URI:||https://hdl.handle.net/10356/158323||Fulltext Permission:||embargo_restricted_20230516||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Student Reports (FYP/IA/PA/PI)|
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|2.51 MB||Adobe PDF||Under embargo until May 16, 2023|
Updated on Dec 9, 2022
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