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检索条件"主题词=Convolutional Auto-Encoder"
81 条 记 录,以下是21-30 订阅
排序:
3D convolutional auto-encoder based multi-scale feature extraction for point cloud registration
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OPTICS AND LASER TECHNOLOGY 2022年 149卷 107860-107860页
作者: Ma, Hao Yin, De-Yu Liu, Jing-Bin Chen, Rui-Zhi Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China Finnish Geospatial Res Inst Dept Remote Sensing & Photogrammetry Masala 02430 Finland Finnish Geospatial Res Inst Ctr Excellence Laser Scanning Res Masala 02430 Finland
Searching corresponding features between two consecutive point cloud sequences is a key step in frame-to-frame matching. Utilizing multi-resolution strategy and voxel model which reserves the original shape of input d... 详细信息
来源: 评论
A Semantic Segmentation Method for Road Environment Images Based on Hybrid convolutional auto-encoder
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TRAITEMENT DU SIGNAL 2022年 第4期39卷 1235-1245页
作者: Song, Xiaona Liu, Haichao Wang, Lijun Wang, Song Cao, Yunyu Xu, Donglai Zhang, Shenfeng North China Univ Water Resources & Elect Power Sch Mech Engn Zhengzhou 450011 Peoples R China Teesside Univ Sch Comp Engn & Digital Technol Middlesbrough TS1 3BX England Suzhou Tianshuo Intelligent Software Co Ltd Suzhou 215011 Peoples R China
Deep convolutional neural networks (CNNs) have presented amazing performance in the task of semantic segmentation. However, the network model is complex, the training time is prolonged, the semantic segmentation accur... 详细信息
来源: 评论
Research on the Fault Diagnosis Method of an Internal Gear Pump Based on a convolutional auto-encoder and PSO-LSSVM
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SENSORS 2022年 第24期22卷 9841页
作者: Liao, Jian Zheng, Jianbo Chen, Zongbin Naval Univ Engn Inst Vibrat & Noise Wuhan 430033 Peoples R China Naval Univ Engn Naval Key Lab Ship Vibrat & Noise Wuhan 430033 Peoples R China
The raw signals produced by internal gear pumps are susceptible to noises brought on by mechanical vibrations and the surrounding environment, and the sample count collected during the various operating periods is not... 详细信息
来源: 评论
One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes
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JOURNAL OF PROCESS CONTROL 2020年 87卷 54-67页
作者: Chen, Shumei Yu, Jianbo Wang, Shijin Tongji Univ Sch Mech Engn Shanghai 201804 Peoples R China Tongji Univ Sch Econ & Management Shanghai 200082 Peoples R China
Noise and high-dimension of process signals decrease effectiveness of those regular fault detection and diagnosis models in multivariate processes. Deep learning technique shows very excellent performance in high-leve... 详细信息
来源: 评论
Steady-State Process Fault Detection for Liquid Rocket Engines Based on convolutional auto-encoder and One-Class Support Vector Machine
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IEEE ACCESS 2020年 8卷 3144-3158页
作者: Zhu, Xiaobin Cheng, Yuqiang Wu, Jianjun Hu, Runsheng Cui, Xing Natl Univ Def Technol Coll Aerosp Sci & Engn Changsha 410073 Peoples R China
Liquid rocket engines (LREs) are the main propulsive devices of launch vehicles. Due to the complex structures and extreme working environments, LREs are also the components prone to failure. It is of great engineerin... 详细信息
来源: 评论
FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval
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APPLIED INTELLIGENCE 2020年 第7期50卷 2208-2221页
作者: Zhang, Yi-yang Feng, Yong Liu, Da-jiang Shang, Jia-xing Qiang, Bao-hua Chongqing Univ Coll Comp Sci Chongqing 400030 Peoples R China Minist Educ Key Lab Dependable Serv Comp Cyber Phys Soc Chongqing 400030 Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Trusted Software Guilin 541004 Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Optoelect Informat Proc Guilin 541004 Peoples R China
Based on the powerful feature extraction capability of deep convolutional neural networks, image-level retrieval methods have achieved superior performance compared to the hand-crafted features and indexing algorithms... 详细信息
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A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis
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MEASUREMENT 2021年 178卷 109352-109352页
作者: Qian, Quan Qin, Yi Wang, Yi Liu, Fuqiang Chongqing Univ State Key Lab Mech Transmission Chongqing 400044 Peoples R China Chongqing Univ Coll Mech & Vehicle Engn Chongqing 400044 Peoples R China
Deep learning has gained a great achievement in the intelligent fault diagnosis of rotating machineries. However, the labeled data is scarce in actual engineering and the marginal distribution of data is discrepant un... 详细信息
来源: 评论
Yarn-dyed Fabric Defect Detection using U-shaped De-noising convolutional auto-encoder  9
Yarn-dyed Fabric Defect Detection using U-shaped De-noising ...
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9th IEEE Data Driven Control and Learning Systems Conference (DDCLS)
作者: Zhang, Hong-wei Tan, Quan-lu Lu, Shuai Ge, Zhi-qiang Gu, De Xian Polytech Univ Sch Elect Informat Xian 710048 Peoples R China Zhejiang Univ Inst Ind Proc Control Hangzhou 310027 Peoples R China Beijing Univ Chem Technol Inst Math Beijing 100029 Peoples R China Jiangnan Univ Inst Automat Key Lab Adv Proc Control Light Ind Minist Educ Wuxi 214122 Jiangsu Peoples R China
Practical factors such as high labor cost of labelling defect samples and scarcity of defect samples make it difficult for supervised machine learning models to solve the problem of yam-dyed fabric defect detection. T... 详细信息
来源: 评论
HRTF Representation with convolutional auto-encoder  26th
HRTF Representation with Convolutional Auto-encoder
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26th International Conference on MultiMedia Modeling (MMM)
作者: Chen, Wei Hu, Ruimin Wang, Xiaochen Li, Dengshi Wuhan Univ Natl Engn Res Ctr Multimedia Software Sch Comp Sci Wuhan 430072 Peoples R China Wuhan Univ Hubei Key Lab Multimedia & Network Commun Engn Wuhan 430072 Peoples R China Collaborat Innovat Ctr Geospatial Technol Wuhan 430079 Peoples R China Jianghan Univ Sch Math & Comp Sci Wuhan Peoples R China
The head-related transfer function (HRTF) can be considered as some kind of filter that describes how a sound from an arbitrary spatial direction transfers to the listener's eardrums. HRTF can be used to synthesiz... 详细信息
来源: 评论
Multimodal Emotion Recognition Method Based on convolutional auto-encoder
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INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2019年 第1期12卷 351-358页
作者: Zhou, Jian Wei, Xianwei Cheng, Chunling Yang, Qidong Li, Qun Nanjing Univ Posts & Telecommun Coll Comp 66 Xinmofan Rd Nanjing 210003 Jiangsu Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor 66 Xinmofan Rd Nanjing 210003 Jiangsu Peoples R China
Emotion recognition is of great significance to computational intelligence systems. In order to improve the accuracy of emotion recognition, electroencephalogram (EEG) signals and external physiological (EP) signals a... 详细信息
来源: 评论