针对堆叠胶囊自编码器存在检测性能慢, 不能更好挖掘图像局部特征的问题,
本文提出基于流形正则的堆叠胶囊自编码器优化算法. 采用Scharr 滤波器对堆叠胶囊自编码器 …

Convolutional neural networks have become a staple in computer vision and image
processing tasks. The capacity for these networks to perform visual pattern recognition in a …

Neural networks designed for the task of classification have become a commodity in recent
years. Many works target the development of more effective networks, which results in a …

We introduce Multi-Lane Capsule Networks (MLCN), which are a separable and resource
efficient organization of Capsule Networks (CapsNet)[1] that allows parallel processing …

Earthquakes are one of the worst natural hazards that frequently turn into disasters that
cause extensive destruction and losses of human lives. Usually, sensor data are used for …

Dynamic routing is a routing-by-agreement mechanism which is important for achieving the
equivariance and invariance properties for capsule network (CapsNet). It is valuable to …

Cyclic redundancy checks within Ethernet do not provide data integrity, which can be solved
by using message authentication codes (MACs) within Ethernet frames. This paper gives …

Wi-Fi sensing has recently gained significant interest for human activity recognition (HAR),
as it provides user privacy and adaptability to non-line-of-sight scenarios. This thesis …

Capsule Network presents a new generation of neural networks in the deep learning field. It
shows its potential in image classification by grouping features into capsules and using parts …

The motivation of the work presented here is to create a component of a safety system based
on 3D lidar sensors, specifically for industrial environments where some rules can be set for …