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检索条件"机构=Institute of Image Processing and Pattern Recognition North China University of Technology"
1396 条 记 录,以下是291-300 订阅
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Chinese spelling error detection using a fusion lattice LSTM
arXiv
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arXiv 2019年
作者: Wang, Hao Wang, Bin Duan, Jianyong Zhang, Jiajun North China University of Technology China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences China
Spelling error detection serves as a crucial preprocessing in many natural language processing applications. Due to the characteristics of Chinese Language, Chinese spelling error detection is more challenging than er... 详细信息
来源: 评论
Data consistent artifact reduction for limited angle tomography with deep learning prior
arXiv
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arXiv 2019年
作者: Huang, Yixing Preuhs, Alexander Lauritsch, Günter Manhart, Michael Huang, Xiaolin Maier, Andreas Pattern Recognition Lab Friedrich-Alexander-Universitt Erlangen-Nrnberg Erlangen91058 Germany Siemens Healthcare GmbH Forchheim91301 Germany Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200240 China Erlangen91058 Germany
Robustness of deep learning methods for limited angle tomography is challenged by two major factors: a) due to insufficient training data the network may not generalize well to unseen data;b) deep learning methods are... 详细信息
来源: 评论
Microarray camera image segmentation with Faster-RCNN
Microarray camera image segmentation with Faster-RCNN
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International Conference on Applied System Innovation (ICASI)
作者: Jiancheng Zou Rui Song Institute of Image Processing and Pattern Recognition North China University of Technology Shijingshan District Beijing China
A novel method of image segmentation based on Faster-RCNN and microarray camera (3 × 3) is proposed in this paper, we use the microarray camera to obtain nine images in the same scene and use nine array images to... 详细信息
来源: 评论
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
arXiv
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arXiv 2020年
作者: Meng, Lubin Huang, Jian Zeng, Zhigang Jiang, Xue Yu, Shan Jung, Tzyy-Ping Lin, Chin-Teng Chavarriaga, Ricardo Wu, Dongrui Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Brainnetome Center National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China La Jolla CA United States Center for Advanced Neurological Engineering Institute of Engineering in Medicine Ucsd La Jolla CA United States Centre of Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Australia Zhaw DataLab Zürich University of Applied Sciences Winterthur8401 Switzerland
Research and development of electroencephalogram (EEG) based brain-computer interfaces (BCIs) have advanced rapidly, partly due to deeper understanding of the brain and wide adoption of sophisticated machine learning ... 详细信息
来源: 评论
image synthesis with adversarial networks: A comprehensive survey and case studies
arXiv
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arXiv 2020年
作者: Shamsolmoali, Pourya Zareapoor, Masoumeh Granger, Eric Zhou, Huiyu Wang, Ruili Emre Celebi, M. Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Laboratoire d’imagerie De vision et d’intelligence artificielle École de technologie supérieure Montreal Canada School of Informatics University of Leicester United Kingdom School of Natural and Computational Sciences Massey University Auckland New Zealand Department of Computer Science University of Central Arkansas United States
Generative Adversarial Networks (GANs) have been extremely successful in various application domains such as computer vision, medicine, and natural language processing. Moreover, transforming an object or person to a ... 详细信息
来源: 评论
Microarray Camera image Super-Resolution with Neural Network and Fusion of V-System
Microarray Camera Image Super-Resolution with Neural Network...
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International Conference on Computer Science & Education (ICCSE)
作者: Jiancheng Zou Honggen Zhang Institute of Image Processing and Pattern Recognition orth China University of Technology Beijing China
With the rapid development of artificial intelligence technology, more and more intelligent devices are beginning to be manufactured. At the same time, the demand of the image resolution is getting higher. Super-resol... 详细信息
来源: 评论
Learning In-Place Residual Homogeneity for image Detail Enhancement
Learning In-Place Residual Homogeneity for Image Detail Enha...
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IEEE International Conference on Acoustics, Speech and Signal processing
作者: He Jiang HuangKai Cai Jie Yang Institute of Pattern Recognition and Image Processing Shanghai Jiaotong University China
In this paper, we put forward and demonstrate a novel method in image and video detail enhancement-- in-place residual homogeneity (IP). In-place residual homogeneity is a regular law we find in testing different bloc... 详细信息
来源: 评论
Oracle character recognition by nearest neighbor classification with deep metric learning  15
Oracle character recognition by nearest neighbor classificat...
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15th IAPR International Conference on Document Analysis and recognition, ICDAR 2019
作者: Zhang, Yi-Kang Zhang, Heng Liu, Yong-Ge Yang, Qing Liu, Cheng-Lin National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences 95 Zhongguancun East Road Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China CAS Center for Excellence of Brain Science and Intelligence Technology Beijing China School of Computer & Information Engineering Anyang Normal University Henan China Key Laboratory of Oracle Bone Inscriptions Information Processing Ministry of Education Henan China
Oracle character is one kind of the earliest hieroglyphics, which can be dated back to Shang Dynasty in china. Oracle character recognition is important for modern archaeology, ancient text understanding, and historic... 详细信息
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Deep model-based feature extraction for predicting protein subcellular localizations from bio-images
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Frontiers of Computer Science 2017年 第2期11卷 243-252页
作者: Wei SHAO Yi DING Hong-Bin SHEN Daoqiang ZHANG School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 211106 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China
Protein subcellular localization prediction is im- portant for studying the function of proteins. Recently, as significant progress has been witnessed in the field of mi- croscopic imaging, automatically determining t... 详细信息
来源: 评论
Random Fourier features via fast surrogate leverage weighted sampling
arXiv
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arXiv 2019年
作者: Liu, Fanghui Huang, Xiaolin Chen, Yudong Yang, Jie Suykens, Johan A.K. Department of Electrical Engineering [ESAT-STADIUS KU Leuven Belgium Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Institute of Medical Robotics Shanghai Jiao Tong University China School of Operations Research and Information Engineering Cornell University United States
In this paper, we propose a fast surrogate leverage weighted sampling strategy to generate refined random Fourier features for kernel approximation. Compared to the current state-of-the-art method that uses the levera... 详细信息
来源: 评论