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检索条件"主题词=sparse AutoEncoder"
252 条 记 录,以下是221-230 订阅
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DETECTION OF LUMEN AND MEDIA-ADVENTITIA BORDERS IN IVUS IMAGES USING sparse AUTO-ENCODER NEURAL NETWORK
DETECTION OF LUMEN AND MEDIA-ADVENTITIA BORDERS IN IVUS IMAG...
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International Symposium on Biomedical Imaging
作者: Shengran Su Zhifan Gao Heye Zhang Qiang Lin William Kongto Hau Shuo Li College of Sciences Zhejiang University of Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences LiKaShing Faculty of Medicine University of Hong Kong University of Western Ontario
This paper describes an artificial neural network (ANN) method that employs a feature-learning algorithm to detect the lumen and MA borders in intravascular ultrasound (IVUS) images. Three types of imaging features in... 详细信息
来源: 评论
SD-MSAEs: Promoter recognition in human genome based on deep feature extraction
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JOURNAL OF BIOMEDICAL INFORMATICS 2016年 61卷 55-62页
作者: Xu, Wenxuan Zhang, Li Lu, Yaping Soochow Univ Sch Comp Sci & Technol Suzhou 215006 Jiangsu Peoples R China Soochow Univ Joint Int Res Lab Machine Learning & Neuromorph Suzhou 215006 Jiangsu Peoples R China Collaborat Innovat Ctr Novel Software Technol & I Nanjing 210000 Jiangsu Peoples R China
The prediction and recognition of promoter in human genome play an important role in DNA sequence analysis. Entropy, in Shannon sense, of information theory is a multiple utility in bioinformatic details analysis. The... 详细信息
来源: 评论
High-speed Railway Clearance Surveillance System Based on Convolutional Neural Networks  8
High-speed Railway Clearance Surveillance System Based on Co...
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8th International Conference on Digital Image Processing (ICDIP)
作者: Wang, Yang Yu, Zujun Zhu, Liqiang Guo, Baoqing Beijing Jiaotong Univ Sch Mech Elect & Control Engn Beijing 100044 Peoples R China
In this paper, the convolutional neural networks with the pre-trained kernels are applied to the video surveillance system, which has been built along the Shanghai-Hangzhou high-speed railway to monitor the railway cl... 详细信息
来源: 评论
Deep Learning-Based Recognition of Underwater Target
Deep Learning-Based Recognition of Underwater Target
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IEEE International Conference on Digital Signal Processing (DSP)
作者: Cao, Xu Zhang, Xiaomin Yu, Yang Niu, Letian Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Peoples R China
Underwater target recognition remains a challenging task due to the complex and changeable environment. There have been a huge number of methods to deal with this problem. However, most of them fail to hierarchically ... 详细信息
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Automatic Recognition of ISAR Images Based on Deep Learning
Automatic Recognition of ISAR Images Based on Deep Learning
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CIE International Conference on Radar (RADAR)
作者: He, Xingyu Tong, Ningning Hu, Xiaowei Air Force Engn Univ Air & Missile Def Coll Xian Peoples R China
The problem of target classification of non-cooperative airplane using inverse synthetic aperture radar (ISAR) images is studied. ISAR image's variation with the radar imaging view makes the classification difficu... 详细信息
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Hand gesture recognition using neural network based techniques  13
Hand gesture recognition using neural network based techniqu...
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13th Symposium on Neural Networks and Applications (NEUREL)
作者: Bobic, Vladislava Tadic, Predrag Kvascev, Goran Univ Belgrade Sch Elect Engn Bul Kralja Aleksandra 73 Belgrade 11120 Serbia
In this paper, two neural network based methods were implemented for recognition of images showing 10 hand gestures. Images were available from 24 subjects and captured on two different backgrounds and with several sp... 详细信息
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Deep Learning-Based Classification of Massive Electrocardiography Data
Deep Learning-Based Classification of Massive Electrocardiog...
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2016 IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference(IMCEC 2016)
作者: Lin Zhou Yan Yan Xingbin Qin Chan Yuan Dashun Que Lei Wang Information and Communication Engineering WuHan University of Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences
Classification is the basis of electrocardiography(ECG) *** the last decades,a large number of methods were proposed to deal with the classification of ECG *** this paper a kind of deep learning method is introduced i... 详细信息
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Machine Learning Anomaly Detection in Large Systems  52
Machine Learning Anomaly Detection in Large Systems
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IEEE AUTOTESTCON
作者: Murphree, Jerry DRS Technol Huntsville AL 35808 USA
We have a need for methods to efficiently determine the health of a system. Diagnostics and prognostics determine system heath through analysis of data from sensors. Anomalies in the data can help us determine if ther... 详细信息
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Effects of deep neural network parameters on classification of bearing faults  42
Effects of deep neural network parameters on classification ...
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42nd Conference of the Industrial Electronics Society, IECON 2016
作者: Ahmed, H.O.A. Dennis Wong, M.L. Nandi, A.K. Department of Electronic and Computer Engineering Brunel University London UxbridgeUB8 3PH United Kingdom Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Sarawak Malaysia College of Electronic and Information Engineering Tongji University Shanghai China
Automatic fault detection and classification for roller element bearings is an important issue for rotating machine condition monitoring. In this paper, we classify roller element bearings fault classes under two and ... 详细信息
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Vertical Axis Detection for Sport Video Analytics
Vertical Axis Detection for Sport Video Analytics
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International Conference on Digital Image Computing - Techniques and Applications (DICTA)
作者: Zeng, Rui Lakemond, Ruan Denman, Simon Sridharan, Sridha Fookes, Clinton Morgan, Stuart Queensland Univ Technol Speech Audio Image & Video Technol Lab Brisbane Qld Australia Imaginat Technol King Langley England Australian Inst Sport Canberra ACT Australia
When processing video, it is normally assumed that cameras are vertically oriented such that people appear upright, which helps simplify subsequent processing such as person detection. In real situations, due to the n... 详细信息
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