Gated networks: an inventory
Gated networks: an inventory
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门控网络：清单
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
F. Stulp
中科院分区：
文献类型：
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作者：
Olivier Sigaud;Clément Masson;David Filliat;F. Stulp
门控网络是包含门控连接的网络，其中至少两个神经元的输出相乘。最初，门控网络用于学习两个输入源之间的关系，例如两个图像的像素。最近，它们已应用于学习活动识别或多模态表示。本文的目的有三个：1）向非专家解释门控网络中的基本计算，同时采用坚持其对称性质的观点。 2）通过提供这些网络的应用程序清单以及基本架构的最新扩展，作为最新文献的快速参考指南。 3）提出未来的研究方向和应用。
Gated networks are networks that contain gating connections, in which the outputs of at least two neurons are multiplied. Initially, gated networks were used to learn relationships between two input sources, such as pixels from two images. More recently, they have been applied to learning activity recognition or multi-modal representations. The aims of this paper are threefold: 1) to explain the basic computations in gated networks to the non-expert, while adopting a standpoint that insists on their symmetric nature. 2) to serve as a quick reference guide to the recent literature, by providing an inventory of applications of these networks, as well as recent extensions to the basic architecture. 3) to suggest future research directions and applications.
视觉旋转中的时间连贯性。
影响因子：
1.8
作者：
Barraza,JoséF;Grzywacz,NorbertoM
通讯作者：
Grzywacz,NorbertoM