Keyword : CNN


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
 Summary | Full Text:PDF(1.3MB)

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
 Summary | Full Text:PDF(3.3MB)

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
 Summary | Full Text:PDF(707.5KB)

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
 Summary | Full Text:PDF(195.6KB)

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
 Summary | Full Text:PDF(217.4KB)

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
 Summary | Full Text:PDF(339.5KB)