Jian Zhang and Yuxin Peng, "SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), doi: 10.1109/TCSVT.2017.2771332, 2017.

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2018年4月10日 · To address these issues and make the supervised method scalable to large datasets, we present a novel hashing method, named Scalable Supervised Discrete Hashing (SSDH). Specifically, based on a new loss function, SSDH bypasses the direct optimization on the n by n pairwise similarity matrix.

协助发展和扩大与可持续性挂钩的主权债务。 该中心是 ，既是一个包容性的合作空间，将主权可持续发展挂钩债券领域的所有参与者聚集在一起，也是一个知识平台，以扩大和传播将自然和 …

2018年7月13日 · To address this problem, we propose a novel unsupervised deep framework called Semantic Structure-based unsupervised Deep Hashing (SSDH). We first empirically study the deep feature statistics, and find that the distribution of the cosine distance for point pairs can be estimated by two half Gaussian distributions.

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caffe-SSDH updates the caffe version of Caffe-DeepBinaryCode. Now it supports the experiments with the latest batch normalization and Deep Residual Networks.

2021年11月2日 · 基于一个新的损失函数，SSDH绕过了对n × n成对相似矩阵的直接优化。 SSDH在学习过程中采用无松弛的优化方案，避免了积累的误差问题。 在学习的过程中，利用了配对相似矩阵和标签矩阵；因此，更多的语义信息可以嵌入到哈希码的学习中。 1.利用两两相似度S和标签矩阵Y来监督哈希码的学习，而不是仅仅利用其中一个，这样可以确保更精确的哈希码。 2.使用实值YG来代替一个二进制矩阵B, YG被证明了对B的逼近是有效的。 3.通过引入YG，替 …

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与可持续发展相关的主权债务中心（SSDH）既创造了一个包容性的合作空间... 本招股说明书阐述了在主权债务市场和可持续性之间的挑战和机遇。 今天的主权债务市场未能充分考虑到气候 …