Convolutional neural network

Results: 192



#Item
1Feature Extraction and Classification of Multispectral Imagery by Using Convolutional Neural Network Atsushi Yoshihara Tetsuya Takiguchi

Feature Extraction and Classification of Multispectral Imagery by Using Convolutional Neural Network Atsushi Yoshihara Tetsuya Takiguchi

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Source URL: www.me.cs.scitec.kobe-u.ac.jp

Language: English - Date: 2018-02-04 05:47:56
    2Accelerating the Super-Resolution Convolutional Neural Network Chao Dong, Chen Change Loy, and Xiaoou Tang Department of Information Engineering, The Chinese University of Hong Kong {dc012,ccloy,xtang}@ie.cuhk.edu.hk

    Accelerating the Super-Resolution Convolutional Neural Network Chao Dong, Chen Change Loy, and Xiaoou Tang Department of Information Engineering, The Chinese University of Hong Kong {dc012,ccloy,xtang}@ie.cuhk.edu.hk

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    Source URL: personal.ie.cuhk.edu.hk

    Language: English - Date: 2016-07-23 23:11:09
      3Fully Convolutional Neural Network for 3D Stroke Lesion Segmentation Miguel Monteiro1? and Arlindo L. Oliveira2 1 2

      Fully Convolutional Neural Network for 3D Stroke Lesion Segmentation Miguel Monteiro1? and Arlindo L. Oliveira2 1 2

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      Source URL: www.isles-challenge.org

      Language: English - Date: 2018-07-23 05:03:58
        4Deep Convolutional Neural Network Approach for Brain Lesion Segmentation Youngwon Choi? , Yongchan Kwon? , Hanbyul Lee? , Myunghee Cho Paik? , and Joong-Ho Won?? Department of Statistics, Seoul National University, Seoul

        Deep Convolutional Neural Network Approach for Brain Lesion Segmentation Youngwon Choi? , Yongchan Kwon? , Hanbyul Lee? , Myunghee Cho Paik? , and Joong-Ho Won?? Department of Statistics, Seoul National University, Seoul

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        Source URL: www.isles-challenge.org

        Language: English - Date: 2016-08-16 09:42:46
          5Deep Convolutional Neural Network for the Detection of Attentive Mental State in Elderly Fatemeh Fahimi1*, Zhuo Zhang2, Tih-Shih Lee3, Cuntai Guan1 1 2

          Deep Convolutional Neural Network for the Detection of Attentive Mental State in Elderly Fatemeh Fahimi1*, Zhuo Zhang2, Tih-Shih Lee3, Cuntai Guan1 1 2

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          Source URL: oar.a-star.edu.sg

          Language: English - Date: 2018-05-29 23:42:02
            6Gated Two-Stage Convolutional Neural Network for Ischemic Stroke Lesion Segmentation Jee-Seok Yoon1 , Eun-Song Kang2 , and Heung-Il Suk2,? 1 2

            Gated Two-Stage Convolutional Neural Network for Ischemic Stroke Lesion Segmentation Jee-Seok Yoon1 , Eun-Song Kang2 , and Heung-Il Suk2,? 1 2

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            Source URL: www.isles-challenge.org

            Language: English - Date: 2017-11-24 09:56:12
              7DropAll: Generalization of Two Convolutional Neural Network Regularization Methods Xavier Fraz˜ao and Lu´ıs A. Alexandre Dept. of Informatics, Univ. Beira Interior and Instituto de Telecomunica¸co ˜es ?

              DropAll: Generalization of Two Convolutional Neural Network Regularization Methods Xavier Fraz˜ao and Lu´ıs A. Alexandre Dept. of Informatics, Univ. Beira Interior and Instituto de Telecomunica¸co ˜es ?

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              Source URL: www.di.ubi.pt

              - Date: 2014-07-07 09:07:37
                8Real-Time Single Image and Video Super-Resolution Using an Efficient arXiv:1609.05158v2 [cs.CV] 23 Sep 2016 Sub-Pixel Convolutional Neural Network Wenzhe Shi1 , Jose Caballero1 , Ferenc Husz´ar1 , Johannes Totz1 , Andr

                Real-Time Single Image and Video Super-Resolution Using an Efficient arXiv:1609.05158v2 [cs.CV] 23 Sep 2016 Sub-Pixel Convolutional Neural Network Wenzhe Shi1 , Jose Caballero1 , Ferenc Husz´ar1 , Johannes Totz1 , Andr

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                Source URL: arxiv.org

                - Date: 2016-09-25 20:34:58
                  9Modeling the Visual Word Form Area Using a Deep Convolutional Neural Network Sandy Wiraatmadja () Department of Computer Science and Engineering, University of California San Diego 9500 Gilman Dr 0404, L

                  Modeling the Visual Word Form Area Using a Deep Convolutional Neural Network Sandy Wiraatmadja () Department of Computer Science and Engineering, University of California San Diego 9500 Gilman Dr 0404, L

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                  Source URL: mindmodeling.org

                  - Date: 2016-08-03 11:42:52
                    10SpeeDO: Parallelizing Stochastic Gradient Descent for Deep Convolutional Neural Network Zhongyang Zheng HTC Research Beijing, China

                    SpeeDO: Parallelizing Stochastic Gradient Descent for Deep Convolutional Neural Network Zhongyang Zheng HTC Research Beijing, China

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                    Source URL: learningsys.org

                    - Date: 2016-05-25 13:20:13