Keyword : CNN


Image Denoiser Using Convolutional Neural Network with Deconvolution and Modified Residual Network
Soo-Yeon SHIN Dong-Myung KIM Jae-Won SUH 
Publication:   
Publication Date: 2019/08/01
Vol. E102-D  No. 8 ; pp. 1598-1601
Type of Manuscript:  LETTER
Category: Image Processing and Video Processing
Keyword: 
imagedenoisedeep learningCNN
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A Robust Tracking with Low-Dimensional Target-Specific Feature Extraction
Chengcheng JIANG Xinyu ZHU Chao LI Gengsheng CHEN 
Publication:   
Publication Date: 2019/07/01
Vol. E102-D  No. 7 ; pp. 1349-1361
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
object trackingfeature extractionPCACNNparticle filter
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Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection
Jingxia CHEN Zijing MAO Ru ZHENG Yufei HUANG Lifeng HE 
Publication:   
Publication Date: 2019/04/01
Vol. E102-D  No. 4 ; pp. 836-844
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
RSVPEEGfeature selectiondeep learningCNN
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Salient Feature Selection for CNN-Based Visual Place Recognition
Yutian CHEN Wenyan GAN Shanshan JIAO Youwei XU Yuntian FENG 
Publication:   
Publication Date: 2018/12/01
Vol. E101-D  No. 12 ; pp. 3102-3107
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
visual place recognitionCNNvariancefeature mapbinarization
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FPGA Implementation of a Real-Time Super-Resolution System Using Flips and an RNS-Based CNN
Taito MANABE Yuichiro SHIBATA Kiyoshi OGURI 
Publication:   
Publication Date: 2018/12/01
Vol. E101-A  No. 12 ; pp. 2280-2289
Type of Manuscript:  Special Section PAPER (Special Section on VLSI Design and CAD Algorithms)
Category: 
Keyword: 
FPGAsuper-resolutionreal-timeCNNRNS
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Real-Time Road-Direction Point Detection in Complex Environment
Huimin CAI Eryun LIU Hongxia LIU Shulong WANG 
Publication:   
Publication Date: 2018/02/01
Vol. E101-D  No. 2 ; pp. 396-404
Type of Manuscript:  PAPER
Category: Software System
Keyword: 
road-direction pointroad detectionCNNautonomous navigation
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Relation Extraction with Deep Reinforcement Learning
Hongjun ZHANG Yuntian FENG Wenning HAO Gang CHEN Dawei JIN 
Publication:   
Publication Date: 2017/08/01
Vol. E100-D  No. 8 ; pp. 1893-1902
Type of Manuscript:  PAPER
Category: Natural Language Processing
Keyword: 
relation extractiondeep reinforcement learningCNNTree-LSTM
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Multi-Channel Convolutional Neural Networks for Image Super-Resolution
Shinya OHTANI Yu KATO Nobutaka KUROKI Tetsuya HIROSE Masahiro NUMA 
Publication:   
Publication Date: 2017/02/01
Vol. E100-A  No. 2 ; pp. 572-580
Type of Manuscript:  Special Section PAPER (Special Section on Image Media Quality)
Category: IMAGE PROCESSING
Keyword: 
super-resolutionresolution enhancementconvolutional neural networksCNNdeep learning
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Recognition of Online Handwritten Math Symbols Using Deep Neural Networks
Hai DAI NGUYEN Anh DUC LE Masaki NAKAGAWA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/12/01
Vol. E99-D  No. 12 ; pp. 3110-3118
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
CNNBLSTMgradient featuresdropoutmaxout
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Necessary and Sufficient Conditions for One-Dimensional Discrete-Time Autonomous Binary Cellular Neural Networks to Be Stable
Tetsuo NISHI Norikazu TAKAHASHI Hajime HARA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2006/12/01
Vol. E89-A  No. 12 ; pp. 3693-3698
Type of Manuscript:  PAPER
Category: Nonlinear Problems
Keyword: 
1-D DBCNNCNNstabilityunsymmetric connection
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Necessary and Sufficient Conditions for a 1-D DBCNN with an Input to Be Stable in terms of Connection Coefficients
Tetsuo NISHI Hajime HARA Norikazu TAKAHASHI 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2006/10/01
Vol. E89-A  No. 10 ; pp. 2825-2832
Type of Manuscript:  Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
Category: Control, Neural Networks and Learning
Keyword: 
1-D DBCNNCNNstabilitynonzero input
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Blinking Long-Range Connections Increase the Functionality of Locally Connected Networks
Martin HASLER Igor BELYKH 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2005/10/01
Vol. E88-A  No. 10 ; pp. 2647-2655
Type of Manuscript:  Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
Category: 
Keyword: 
networksCNNblinking connectionmultistable systemaveraging
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