Results 21 to 30 of about 69,407 (212)
Quantum Science and Technology, 2022 Abstract Capsule networks (CapsNets), which incorporate the paradigms of connectionism and symbolism, have brought fresh insights into artificial intelligence (AI). The capsule, as the building block of CapsNets, is a group of neurons represented by a vector to encode different features of an entity.
Zidu Liu +4 more
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Journal of King Saud University - Computer and Information Sciences, 2022 Modern day computer vision tasks requires efficient solution to problems such as image recognition, natural language processing, object detection, object segmentation and language translation. Symbolic Artificial Intelligence with its hard coding rules is incapable of solving these complex problems resulting in the introduction of Deep Learning (DL ...
Patrick Kwabena Mensah +3 more
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CoRR, 2022 Capsule networks are a class of neural networks that achieved promising results on many computer vision tasks. However, baseline capsule networks have failed to reach state-of-the-art results on more complex datasets due to the high computation and memory requirements.
Josef Gugglberger +2 more
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网络与信息安全学报, 2023 With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic ...
Guozhen SHI +3 more
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Research of Short Text Multi-intent Detection with Capsule Network
Jisuanji kexue yu tansuo, 2020 Intent detection is a key sub-task of spoken language understanding in human-machine dialogue system. Considering the problem of user's multi-intent expressed, a multi-intent classifier based on single-intent marker is constructed by using capsule ...
LIU Jiao, LI Yanling, LIN Min
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Capsule Network with Shortcut Routing
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2021 8 pages, published at IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences E104.A(8)
Thanh Vu Dang +3 more
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How to Accelerate Capsule Convolutions in Capsule Networks
CoRR, 2021 How to improve the efficiency of routing procedures in CapsNets has been studied a lot. However, the efficiency of capsule convolutions has largely been neglected. Capsule convolution, which uses capsules rather than neurons as the basic computation unit, makes it incompatible with current deep learning frameworks' optimization solution.
Zhenhua Chen 0003 +3 more
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Coal mine information comprehensive perception and intelligent decision system
Gong-kuang zidonghua, 2020 Aiming at problems of poor information perception ability and low decision level in coal mine safety production, a coal mine information comprehensive perception and intelligent decision system was proposed, which was composed of capsule network layer ...
LI Tengfei, LI Changyou, LI Jingzhao
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Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network
BMC Bioinformatics, 2021 Background Long noncoding RNAs (lncRNAs) play important roles in multiple biological processes. Identifying LncRNA–protein interactions (LPIs) is key to understanding lncRNA functions.
Ying Li +5 more
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Neural Processing Letters, 2020 Capsule network (CapsNet) was introduced as an enhancement over convolutional neural networks, supplementing the latter's invariance properties with equivariance through pose estimation. CapsNet achieved a very decent performance with a shallow architecture and a significant reduction in parameters count.
Mohammed Amer 0001, Tomas Maul
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