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检索条件"主题词=Sparse Auto-encoder"
79 条 记 录,以下是51-60 订阅
排序:
Learning Facial Expression Codes with sparse auto-encoder
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2nd International Conference on Mechatronics and Control Engineering (ICMCE 2013)
作者: Hu, Dekun Duan, Guiduo Chengdu Univ Inst Higher Educ Sichuan Prov Key Lab Pattern Recognit & Intelligent Informat P Chengdu 610106 Peoples R China Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 610054 Peoples R China
A sparse auto-encoder model was trained to extract the code of different facial expression, which comprises four encoder layers and three decode layers, the representation locating in the fourth layer (code layer) is ... 详细信息
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Classification of medical images based on deep stacked patched auto-encoders
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MULTIMEDIA TOOLS AND APPLICATIONS 2020年 第35-36期79卷 25237-25257页
作者: Ben Ali, Ramzi Ejbali, Ridha Zaied, Mourad Univ Gabes ENIG Res Team Intelligent Machines RTIM Zrig 6029 Gabes Tunisia RTIM Gabes Tunisia
The concept of artificial intelligence is not new. Without going into details of the evolution of artificial intelligence, we can confess that recent techniques of deep neural networks have considerably relaunched the... 详细信息
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A Novel Network Intrusion Detection Method Based on DSAE-PSOCNN Model
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ENGINEERING LETTERS 2022年 第4期30卷 1306页
作者: Sun, Qiaochu Dai, Hong Xu, Yao Shi, Tianwei Univ Sci & Technol Liaoning Sch Comp Sci & Software Engn Anshan Peoples R China
Network intrusion detection plays a vital role in information network security protection. To solve the deficiency of the feature dimension reduction and the detection performance, we propose a novel intrusion detecti... 详细信息
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WiFi-Based Driver's Activity Monitoring with Efficient Computation of Radio-Image Features
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SENSORS 2020年 第5期20卷 1381-1381页
作者: Akhtar, Zain Ul Abiden Wang, Hongyu Dalian Univ Technol Fac Elect Informat & Elect Engn Dalian 116023 Peoples R China
Driver distraction and fatigue are among the leading contributing factors in various fatal accidents. Driver activity monitoring can effectively reduce the number of roadway accidents. Besides the traditional methods ... 详细信息
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Heterogeneous transfer learning based on Stack sparse auto-encoders for fault diagnosis
Heterogeneous transfer learning based on Stack Sparse Auto-E...
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Chinese automation Congress (CAC)
作者: Wang Chunfeng Lv Zheng Zhao Jun Wang Wei Dalian Univ Technol Sch Control Sci & Technol Dalian Peoples R China
Fault diagnosis can reduce the risk of accidental failure and play a vital role in ensuring the reliability and safety of industrial systems. The traditional fault diagnosis algorithms mostly require enough training s... 详细信息
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automatic Modulation Classification for Short Burst Underwater Acoustic Communication Signals Based on Hybrid Neural Networks
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IEEE ACCESS 2020年 8卷 227793-227809页
作者: Li, Yongbin Wang, Bin Shao, Gaoping Shao, Shuai PLA Strateg Support Force Informat Engn Univ Zhengzhou 450001 Peoples R China
automatic modulation classification (AMC) is challenging for short burst underwater acoustic (UWA) communication signals. Difficulties include but are not limited to the poor UWA channels, impulsive noise, and data sc... 详细信息
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Low-Resolution Person Re-identification by a Discriminative Resolution-Invariant Network  14th
Low-Resolution Person Re-identification by a Discriminative ...
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14th Chinese Conference on Biometric Recognition (CCBR)
作者: Guo, Tongtong Lai, Jianhuang Feng, Zhanxiang Chen, Zeyu Xie, Xiaohua Zheng, Weishi Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou Peoples R China Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou Peoples R China Guangdong Key Lab Informat Secur Technol Guangzhou Peoples R China Minist Educ Key Lab Machine Intelligence & Adv Comp Guangzhou Peoples R China
Person Re-identification (re-id) needs to tackle with the problem of changing resolutions because the pedestrians from surveillance systems or public datasets have low-resolution problem (LR-REID) including low qualit... 详细信息
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Extending an Anomaly Detection Benchmark with auto-encoders, Isolation Forests, and RBMs  25th
Extending an Anomaly Detection Benchmark with Auto-encoders,...
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25th International Conference on Information and Software Technologies (ICIST)
作者: Pijnenburg, Mark Kowalczyk, Wojtek Leiden Univ Leiden Inst Adv Comp Sci Niels Bohrweg 1 Leiden Netherlands Netherlands Tax & Customs Adm Utrecht Netherlands
In this paper, the recently published benchmark of Goldstein and Uchida [3] for unsupervised anomaly detection is extended with three anomaly detection techniques: sparse auto-encoders, Isolation Forests, and Restrict... 详细信息
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Classifying aircraft based on sparse recovery and deep-learning
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JOURNAL OF ENGINEERING-JOE 2019年 第21期2019卷 7464-7468页
作者: Wang Wenying Wei Yao Zhen Xuanxuan Yu Hui Wang Ruqi Nanjing Res Inst Elect Technol Nanjing 210039 Jiangsu Peoples R China
A hybrid CS-DL method for aircraft classification in complex electromagnetic environment is introduced. To classify aircraft from interfered radar echoes, the authors propose a novel classification method based on com... 详细信息
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Turn-to-Turn Short Circuit of Motor Stator Fault Diagnosis Using Dropout Rate Improved Deep sparse autoencoder  3
Turn-to-Turn Short Circuit of Motor Stator Fault Diagnosis U...
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3rd IEEE Advanced Information Technology, Electronic and automation Control Conference (IAEAC)
作者: Wang, Botao Ma, Baohui Xu, Kexing Zheng, Tingting Xi An Jiao Tong Univ Sch Elect Engn Xian 710049 Shaanxi Peoples R China State Key Lab Large Elect Drive Syst & Equipment Tianshui 741020 Gansu Peoples R China
Motor is one of the most frequently used machines in industry. Ensuring the reliability of motor and timely identifying the fault type of motor can guarantee the properly working and prevent the great loss. In this pa... 详细信息
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