Search Word(s) in Title, Keywords, Authors, and Abstract: Deep Learning

Feature Extraction based on DBN-SVM for Tone Recognition
Hao Chao, Cheng Song, Bao-yun Lu and Yong-li Liu
Page: 91~99, Vol. 15, No.1, 2019
10.3745/JIPS.04.0101
Keywords: Deep Belief Networks, Deep Learning, Feature Fusion, Support Vector Machine, Tone Feature Extraction
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[EDITORIAL] Practical Approaches Based on Deep Learning and Social Computing
Jong Hyuk Park
Page: 1~5, Vol. 14, No.1, 2018
10.3745/JIPS.00.0009
Keywords:
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Variations of AlexNet and GoogLeNet to Improve Korean Character Recognition Performance
Sang-Geol Lee, Yunsick Sung, Yeon-Gyu Kim and Eui-Young Cha
Page: 205~217, Vol. 14, No.1, 2018
10.3745/JIPS.04.0061
Keywords: Classification, CNN, Deep Learning, Korean Character Recognition
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Infrared and Visible Image Fusion Based on NSCT and Deep Learning
Xin Feng
Page: 1405~1419, Vol. 14, No.6, 2018
10.3745/JIPS.04.0096
Keywords: Boltzmann Machine, Depth Model, Image Fusion, Split Bregman Iterative Algorithm
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Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches
Ning Yu, Zeng Yu, Feng Gu, Tianrui Li, Xinmin Tian and Yi Pan
Page: 204~214, Vol. 13, No.2, 2017
10.3745/JIPS.04.0029
Keywords: Bioinformatics, Deep Learning, Deep Neural Networks, DNA Genome Analysis, Image Data Analysis, Machine Learning, lincRNA
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A Comprehensive Review of Emerging Computational Methods for Gene Identification
Ning Yu, Zeng Yu, Bing Li, Feng Gu and Yi Pan
Page: 1~34, Vol. 12, No.1, 2016
10.3745/JIPS.04.0023
Keywords: Cloud Computing, Comparative Methods, Deep Learning, Fourier Transform, Gene Identification, Gene Prediction, Hidden Markov Model, Machine Learning, Protein-Coding Region, Support Vector Machine
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