Computational Intelligence and Neuroscience / 2019 / Article / Fig 8

Research Article

Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks

Figure 8

Convergence of three kinds of losses for different lengths of hash codes (epoch = 150). (a) Joint loss. (b) Triplet likelihood loss. (c) Linear classification loss.
(a)
(b)
(c)

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.