迁移学习(transfer learning)通俗来讲,就是运用已有的知识来学习新的知识,核心是找到已有知识和新知识之间的相似性。在迁移学习中,我们已有的知识叫做源域(source domain),要学习的新知识叫目标域(target domain),源域和目标域不同但有一定关联,我们需要减小源域和目标域的分布差异,进行知识迁移,从而实现数据标定。
源域(Source Domain) 发出接受某种特定服务的业务流的节点所在的域。 man.lupaworld.com|基于310个网页 2. 源领域 称作源领域(source domain),隐喻的认知机制实际上就是将源领域的经验映射到目标域。 www.sure4pass.com|基于95个网页 3. 来源域 每个隐喻都包含来源域(source domain)和目标域(target domain)两...
Specifically, given labeled samples in the source domain, we construct a subspace for each of the classes. Then we construct subspaces in the target domain, called anchor subspaces, by collecting unlabeled samples that are close to each other and are highly likely to belong to the same class....
Before you begin to migrate your accounts from the source domain to the target domain, you have to prepare the source and target domains for the migration. The following illustration shows the tasks that are required to prepare the domains for the interforest domain restructure process....
网络念域 网络释义 1. 念域 认知隐喻涉及复杂的思维映射, 即把一个概念域( 源域;the source domain) 的知识映射到 另一个概念域 (目的域; the target dom… www.docin.com|基于 1 个网页 例句 释义: 全部,念域 更多例句筛选
Before you begin to migrate your accounts from the source to the target domains, you need to prepare the source and target domains for the migration. Figure 11.7 shows the tasks required to prepare your source and target domains for the interforest domain restructure process. Figure 11.7 Prepa...
这篇文章介绍一篇ICCV 2021的工作:Generalized Source-free Domain Adaptation。这篇文章和传统DA的setting关注点有以下一些不同: 模型在source/target domain上都要有不错的表现。 在adaptation的时候,我们只能得到目标域的无标签数据和在源域预训练好的模型,而不能获取源域的训练数据。 我们首先介绍一下本文的setting...
Domain adaptation assumes that samples from source and target domains are freely accessible during a training phase. However, such an assumption is rarely plausible in real cases and possibly causes data-privacy issues, especially when the label of the source domain can be a sensitive attribute as...
aFrom the perspective of conceptual mapping, metaphor is the cross-domain mapping from the source domain onto the target domain, and to maintain the source domain of reasoning structure in the target domain 从透视概念性映射,隐喻是映射从源域的十字架领域目标领域和维护推理结构源域在目标领域 [...
In many applications, a face recognition model learned on a source domain but applied to a novel target domain degenerates even significantly due to the mismatch between the two domains. Aiming at learning a better face recognition model for the target domain, this paper proposes a simple but ...