Results 21 to 30 of about 32,124 (206)
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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Simplified Routing Mechanism for Capsule Networks
Algorithms, 2023 Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data ...
János Hollósi +2 more
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3D Point Capsule Networks [PDF]
, 2018 In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
Birdal, Tolga +3 more
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E2‐capsule neural networks for facial expression recognition using AU‐aware attention
IET Image Processing, 2020 Capsule neural network is a new and popular technique in deep learning. However, the traditional capsule neural network does not extract features sufficiently before the dynamic routing between capsules.
Shan Cao, Yuqian Yao, Gaoyun An
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Capsule Network with Its Limitation, Modification, and Applications—A Survey
Machine Learning and Knowledge Extraction, 2023 Numerous advancements in various fields, including pattern recognition and image classification, have been made thanks to modern computer vision and machine learning methods.
Mahmood Ul Haq +2 more
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VIOLA jones algorithm with capsule graph network for deepfake detection [PDF]
PeerJ Computer Science, 2023 DeepFake is a forged image or video created using deep learning techniques. The present fake content of the detection technique can detect trivial images such as barefaced fake faces.
Venkatachalam K +2 more
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Cow Face Recognition for a Small Sample Based on Siamese DB Capsule Network
IEEE Access, 2022 Dairy cow face recognition using Neural Networks has several hurdles. For example, there are only a few instances of each individual. The positions and angles of the individuals in the image fluctuate considerably, the differences between individuals are
Feng Xu, Jing Gao, Xin Pan
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CapsTM: capsule network for Chinese medical text matching
BMC Medical Informatics and Decision Making, 2021 Background Text Matching (TM) is a fundamental task of natural language processing widely used in many application systems such as information retrieval, automatic question answering, machine translation, dialogue system, reading comprehension, etc.
Xiaoming Yu +6 more
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Malware Detection Based on the Feature Selection of a Correlation Information Decision Matrix
Mathematics, 2023 Smartphone apps are closely integrated with our daily lives, and mobile malware has brought about serious security issues. However, the features used in existing traffic-based malware detection techniques have a large amount of redundancy and useless ...
Kai Lu, Jieren Cheng, Anli Yan
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Remote Sensing, 2019 Capsule networks can be considered to be the next era of deep learning and have recently shown their advantages in supervised classification. Instead of using scalar values to represent features, the capsule networks use vectors to represent features ...
Kaiqiang Zhu +4 more
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