General Distributed Hash Learning on Image Descriptors for $k$-Nearest Neighbor Search
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DOI: 10.1109/lsp.2019.2907777
Abstract: Hashing methods have attracted much attention due to their superior time and storage properties for image retrieval. To learn similarity-preserving hash function, most existing methods are designed for the centralized setting. However, the current data… read more here.
Keywords: general distributed; distributed hash; hash learning; model ... See more keywords