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Dec, 2013
稀疏相似性保持哈希
Sparse similarity-preserving hashing
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Jonathan Masci, Alex M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro
TL;DR
本研究提出使用 feed-forward 神经网络来实现稀疏高维哈希码，并且通过对视觉和多模态数据的实验评估表明该方法具有显著的优势。
Abstract
In recent years, a lot of attention has been devoted to efficient
nearest neighbor search
by means of
similarity-preserving hashing
. One of the plights of existing hashing techniques is the intrinsic trade-off be
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