Journals & Publications

Title: Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data

 Authors: Ma, DK; Liang, JA; He, R; Kong, XW

 Author Full Names: Ma, Dekui; Liang, Jian; He, Ran; Kong, Xiangwei

 Source: IEEE MULTIMEDIA, 24 (2):56-65; APR-JUN 2017

 Language: English

 Abstract: Discrete cross-modal hashing is a supervised method that exploits classification tasks to learn heterogeneous binary codes. DCMH also updates the binary codes for each modality and learns discrete hashing codes bit by bit, making it promising for large-scale datasets.

 ISSN: 1070-986X

 eISSN: 1941-0166

 IDS Number: EU8KR

 Unique ID: WOS:000401288300008