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检索条件"主题词=Autoencoder"
4298 条 记 录,以下是4001-4010 订阅
Deep appearance and motion learning for egocentric activity recognition
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NEUROCOMPUTING 2018年 275卷 438-447页
作者: Wang, Xuanhan Gao, Lianli Song, Jingkuan Zhen, Xiantong Sebe, Nicu Shen, Heng Tao Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 611731 Sichuan Peoples R China Columbia Univ Sch Engn & Appl Sci New York NY 10027 USA Univ Western Ontario Digital Imaging Grp London ON N6A 4V2 Canada Univ Trento Dept Informat Engn & Comp Sci I-38100 Trento Italy
Egocentric activity recognition has recently generated great popularity in computer vision due to its widespread applications in egocentric video analysis. However, it poses new challenges comparing to the conventiona... 详细信息
来源: 评论
A survey on deep learning based face recognition
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COMPUTER VISION AND IMAGE UNDERSTANDING 2019年 189卷 102805-000页
作者: Guo, Guodong Zhang, Na North Univ China Sch Informat & Commun Engn Taiyuan Shanxi Peoples R China West Virginia Univ LCSEE Morgantown WV 26506 USA
Deep learning, in particular the deep convolutional neural networks, has received increasing interests in face recognition recently, and a number of deep learning methods have been proposed. This paper summarizes abou... 详细信息
来源: 评论
Multi-Features Fusion for Fault Diagnosis of Pedal Robot Using Time-Speed Signals
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SENSORS 2019年 第1期19卷 163-163页
作者: Zhu, Yuhao Fu, Zeyu Fu, Zhuang Chen, Xi Wu, Qi Shanghai Jiao Tong Univ State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China Shanghai Aircraft Customer Serv Co Ltd Shanghai Engn Res Ctr Civil Aircraft Hlth Monitor Shanghai 200241 Peoples R China Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China
In order to realize automation of the pollutant emission tests of vehicles, a pedal robot is designed instead of a human-driven vehicle. Sometimes, the actual time-speed curve of the vehicle will deviate from the uppe... 详细信息
来源: 评论
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks
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ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 2019年 第4期13卷 44-44页
作者: Sajadmanesh, Sina Bazargani, Sogol Zhang, Jiawei Rabiee, Hamid R. Sharif Univ Technol Dept Comp Engn Azadi Ave Tehran *** Iran Florida State Univ Dept Comp Sci 1017 Acad Way Tallahassee FL 32304 USA
Online social networks, World Wide Web, media, and technological networks, and other types of so-called Information networks are ubiquitous nowadays. These information networks are inherently heterogeneous and dynamic... 详细信息
来源: 评论
Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks
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INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 2018年 第12期13卷 1905-1913页
作者: Antonio, Victor Andrew A. Ono, Naoaki Saito, Akira Sato, Tetsuo Altaf-Ul-Amin, Md. Kanaya, Shigehiko Nara Inst Sci & Technol Grad Sch Sci & Technol Ikoma Japan Nara Inst Sci & Technol Data Sci Ctr Ikoma Japan Univ Tokyo Div Hlth Serv Promot Tokyo Japan Nara Inst Sci & Technol Grad Sch informat Sci Ikoma Japan
PurposeConvolutional neural networks have become rapidly popular for image recognition and image analysis because of its powerful potential. In this paper, we developed a method for classifying subtypes of lung adenoc... 详细信息
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Automatic Facial Expression Recognition System Using Deep Network-Based Data Fusion
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IEEE TRANSACTIONS ON CYBERNETICS 2018年 第1期48卷 103-114页
作者: Majumder, Anima Behera, Laxmidhar Subramanian, Venkatesh K. Indian Inst Technol Dept Elect Engn Kanpur 208016 Uttar Pradesh India
This paper presents a novel automatic facial expressions recognition system (AFERS) using the deep network framework. The proposed AFERS consists of four steps: 1) geometric features extraction;2) regional local binar... 详细信息
来源: 评论
Detection of Tennis Activities with Wearable Sensors
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SENSORS 2019年 第22期19卷 5004-5004页
作者: Benages Pardo, Luis Buldain Perez, David Orrite Urunuela, Carlos Univ Zaragoza Aragon Inst Engn Res Zaragoza 50018 Spain
This paper aims to design and implement a system capable of distinguishing between different activities carried out during a tennis match. The goal is to achieve the correct classification of a set of tennis strokes. ... 详细信息
来源: 评论
A Novel PAPR Reduction Scheme for OFDM System Based on Deep Learning
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IEEE COMMUNICATIONS LETTERS 2018年 第3期22卷 510-513页
作者: Kim, Minhoe Lee, Woongsup Cho, Dong-Ho Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 34141 South Korea Gyeongsang Natl Univ Inst Marine Ind Dept Informat & Commun Engn Tongyeong 53064 South Korea
High peak-to-average power ratio (PAPR) has been one of the major drawbacks of orthogonal frequency division multiplexing (OFDM) systems. In this letter, we propose a novel PAPR reduction scheme, known as PAPR reducin... 详细信息
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Speech Enhancement Based on Deep Denoising autoencoder
Speech Enhancement Based on Deep Denoising Autoencoder
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14th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2013)
作者: Lu, Xugang Tsao, Yu Matsuda, Shigeki Hori, Chiori Natl Inst Informat & Commun Technol Tokyo Japan Acad Sinica Res Ctr Informat Technol Innovat Taipei Taiwan
We previously have applied deep autoencoder (DAE) for noise reduction arid speech enhancement. However, the DAE was trained using only clean speech. In this study, by using noisy clean training pairs, we further intro... 详细信息
来源: 评论
Deep Learning-Aided SCMA
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IEEE COMMUNICATIONS LETTERS 2018年 第4期22卷 720-723页
作者: Kim, Minhoe Kim, Nam-I Lee, Woongsup Cho, Dong-Ho Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 34141 South Korea Gyeongsang Natl Univ Inst Marine Ind Dept Informat & Commun Engn Tongyeong 53064 South Korea
Sparse code multiple access (SCMA) is a promising code-based non-orthogonal multiple-access technique that can provide improved spectral efficiency and massive connectivity meeting the requirements of 5G wireless comm... 详细信息
来源: 评论