BriefGPT.xyz
Mar, 2018
互信息哈希
Hashing with Mutual Information
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Fatih Cakir, Kun He, Sarah Adel Bargal, Stan Sclaroff
TL;DR
该研究提出了一种基于互信息优化的新型监督式哈希方法,通过在深度神经网络中优化互信息来学习二进制向量嵌入,从而在大规模高维对象数据库检索中获得高质量的二进制嵌入。
Abstract
binary vector embeddings
enable fast nearest neighbor retrieval in large databases of high-dimensional objects, and play an important role in many practical applications, such as image and video retrieval. We study the problem of learning
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