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检索条件"主题词=Autoencoder"
4258 条 记 录,以下是4151-4160 订阅
HEP-2 CELL CLASSIFICATION BASED ON A DEEP AUTOENCODING-CLASSIFICATION CONVOLUTIONAL NEURAL NETWORK
HEP-2 CELL CLASSIFICATION BASED ON A DEEP AUTOENCODING-CLASS...
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International Symposium on Biomedical Imaging
作者: Jingxin Liu Bolei Xu Linlin Shen Jon Garibaldi Guoping Qiu The Universiy of Nottingham Ningbo China Shenzhen University The Universiy of Nottingham
In this paper, we present a novel deep learning model termed Deep Autoencoding-Classification Network (DACN) for HEp-2 cell classification. The DACN consists of an au-toencoder and a normal classification convolutiona... 详细信息
来源: 评论
A Deep Learning Framework for Character Motion Synthesis and Editing
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ACM TRANSACTIONS ON GRAPHICS 2016年 第4期35卷 1-11页
作者: Holden, Daniel Saito, Jun Komura, Taku Univ Edinburgh Edinburgh EH8 9YL Midlothian Scotland Marza Animat Planet Los Angeles CA USA
We present a framework to synthesize character movements based on high level parameters, such that the produced movements respect the manifold of human motion, trained on a large motion capture dataset. The learned mo... 详细信息
来源: 评论
安卓恶意代码检测技术的研究与实现
安卓恶意代码检测技术的研究与实现
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作者: 李振国 北京工业大学
学位级别:硕士
安卓系统使用量的增长使得各种新型恶意代码不断出现,这些恶意代码通常在未经用户允许的情况下运行在用户终端的后台。编写人员利用这些恶意代码来窃取私人信息或投放广告,严重的侵犯了用户合法权益。越来越多的研究人员开始投身于基于... 详细信息
来源: 评论
基于协同过滤的个性化推荐研究
基于协同过滤的个性化推荐研究
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作者: 王玉业 江苏大学
学位级别:硕士
随着计算机和互联网技术的高速发展,用户接触到了越来越多的信息和服务,但同时也给用户带来了“信息过载”的问题。个性化推荐成为解决这个难题最为有效途径,越来越多的研究者注意到了这个问题,并开展了相应研究。个性化推荐就是能从丰... 详细信息
来源: 评论
Fabric Defect Detection using Deep Learning  24
Fabric Defect Detection using Deep Learning
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24th Signal Processing and Communication Application Conference (SIU)
作者: Seker, Abdulkadir Peker, Kadir Askin Yuksek, Ahmet Gurkan Delibas, Emre Cumhuriyet Univ Bilgisayar Muhendisligi Bolumu Sivas Turkey Meliksah Univ Bilgisayar Muhendisligi Bolumu Kayseri Turkey
Fabric defect detection have importance in terms of sectoral quality. Automatic systems are developed on the defect detection, in this regard many methods are tried to obtain high precision with image processing studi... 详细信息
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Deep Subspace Mapping in Hyperspectral Imaging  10
Deep Subspace Mapping in Hyperspectral Imaging
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Conference on Electro-Optical Remote Sensing X
作者: Wadstromer, Niclas Gustafsson, David Petersson, Henrik Bergstrom, David Swedish Def Res Agcy FOI Linkoping Sweden
We propose a novel Deep learning approach using autoencoders to map spectral bands to a space of lower dimensionality while preserving the information that makes it possible to discriminate different materials. Deep l... 详细信息
来源: 评论
Detection of Anomalous Behavior in a Robot System Based on Deep Learning Elements
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AUTOMATIC CONTROL AND COMPUTER SCIENCES 2016年 第8期50卷 726-733页
作者: Utkin, L. V. Zaborovskii, V. S. Popov, S. G. Peter Great St Petersburg Polytech Univ St Petersburg Russia
The preprocessing procedure for anomalous behavior of robot system elements is proposed in the paper. It uses a special kind of a neural network called an autoencoder to solve two problems. The first problem is to dec... 详细信息
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SEMANTIC ANNOTATION OF SATELLITE IMAGES VIA JOINT MULTI-FEATURE LEARNING WITH DIVERSITY CONSTRAINT  36
SEMANTIC ANNOTATION OF SATELLITE IMAGES VIA JOINT MULTI-FEAT...
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36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Yao, Xiwen Han, Junwei Cheng, Gong Zhou, Peicheng Guo, Lei Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China
Automatic semantic annotation of high-resolution optical satellite images is a task to assign one or several predefined semantic concepts to an image according to its content. The fundamental challenge arises from the... 详细信息
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Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields  15
Page Segmentation for Historical Handwritten Document Images...
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15th International Conference on Frontiers in Handwriting Recognition (ICFHR)
作者: Chen, Kai Seuret, Mathias Liwicki, Marcus Hennebert, Jean Liu, Cheng-Lin Ingold, Rolf Univ Fribourg DIVA Fribourg Switzerland Univ Appl Sci HES SO FR Fribourg Switzerland Chinese Acad Sci Inst Automat NLPR Beijing Peoples R China
In this paper, we present a Conditional Random Field (CRF) model to deal with the problem of segmenting handwritten historical document images into different regions. We consider page segmentation as a pixel-labeling ... 详细信息
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Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning  15
Identifying Nontechnical Power Loss via Spatial and Temporal...
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15th IEEE International Conference on Machine Learning and Applications (ICMLA)
作者: Bhat, Rajendra Rana Trevizan, Rodrigo Daniel Sengupta, Rahul Li, Xiaolin Bretas, Arturo Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA
Fraud detection in electricity consumption is a major challenge for power distribution companies. While many pattern recognition techniques have been applied to identify electricity theft, they often require extensive... 详细信息
来源: 评论