Deep Convolutional Neural Networks: Structure, Feature Extraction and Training

Ivars Namatēvs

doi:10.1515/itms-2017-0007

Deep Convolutional Neural Networks: Structure, Feature Extraction and Training

Information Technology and Management Science ◽

10.1515/itms-2017-0007 ◽

2017 ◽

Vol 20 (1) ◽

Cited By ~ 5

Author(s):

Ivars Namatēvs

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Convolutional Neural Networks ◽

Deep Convolutional Neural Networks ◽

Structure Feature ◽

Networks Structure ◽

And Training

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Regularized Deep Convolutional Neural Networks for Feature Extraction and Classification

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70096-0_45 ◽

2017 ◽

pp. 431-439 ◽

Cited By ~ 1

Author(s):

Khaoula Jayech

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Convolutional Neural Networks ◽

Deep Convolutional Neural Networks

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A Design and Training Application for Deep Convolutional Neural Networks and Support Vector Machines Developed on MATLAB

Lecture Notes in Mechanical Engineering - RITA 2018 ◽

10.1007/978-981-13-8323-6_3 ◽

2019 ◽

pp. 27-33 ◽

Cited By ~ 1

Author(s):

Fusaomi Nagata ◽

Kenta Tokuno ◽

Hiroaki Ochi ◽

Akimasa Otsuka ◽

Takeshi Ikeda ◽

...

Keyword(s):

Neural Networks ◽

Support Vector Machines ◽

Convolutional Neural Networks ◽

Support Vector ◽

Deep Convolutional Neural Networks ◽

Vector Machines ◽

And Training

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Deep Convolutional Neural Networks for Feature Extraction in Speech Emotion Recognition

Human-Computer Interaction. Recognition and Interaction Technologies - Lecture Notes in Computer Science ◽

10.1007/978-3-030-22643-5_9 ◽

2019 ◽

pp. 117-132 ◽

Cited By ~ 1

Author(s):

Panikos Heracleous ◽

Yasser Mohammad ◽

Akio Yoneyama

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Emotion Recognition ◽

Convolutional Neural Networks ◽

Speech Emotion Recognition ◽

Deep Convolutional Neural Networks

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Feature extraction and classification using deep convolutional neural networks, PCA and SVC for face recognition

Traitement du signal ◽

10.3166/ts.34.77-91 ◽

2017 ◽

Vol 34 (1-2) ◽

pp. 77-91 ◽

Cited By ~ 3

Author(s):

Mohammed Kamel BENKADDOUR ◽

Abdennacer BOUNOUA

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Face Recognition ◽

Convolutional Neural Networks ◽

Deep Convolutional Neural Networks

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Assessment and Impact of Feature Extraction Methods for Hyperspectral Remote Sensing Image Classification Based on Deep Convolutional Neural Networks

10.1109/icirca51532.2021.9544558 ◽

2021 ◽

Author(s):

Venkata Gopi Mandoori ◽

Radhesyam Vaddi

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Feature Extraction ◽

Image Classification ◽

Convolutional Neural Networks ◽

Remote Sensing Image ◽

Extraction Methods ◽

Deep Convolutional Neural Networks ◽

Remote Sensing Image Classification ◽

Hyperspectral Remote Sensing Image

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A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

IEEE Transactions on Information Theory ◽

10.1109/tit.2017.2776228 ◽

2018 ◽

Vol 64 (3) ◽

pp. 1845-1866 ◽

Cited By ~ 71

Author(s):

Thomas Wiatowski ◽

Helmut Bolcskei

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Convolutional Neural Networks ◽

Mathematical Theory ◽

Deep Convolutional Neural Networks

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Discriminative feature extraction from X-ray images using deep convolutional neural networks

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7471809 ◽

2016 ◽

Cited By ~ 7

Author(s):

M. Srinivas ◽

Debaditya Roy ◽

C. Krishna Mohan

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Convolutional Neural Networks ◽

Deep Convolutional Neural Networks ◽

X Ray ◽

Discriminative Feature

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Deep Convolutional Neural Networks for Feature Extraction of Images Generated from Complex Networks Topologies

Wireless Personal Communications ◽

10.1007/s11277-018-5445-7 ◽

2018 ◽

Vol 103 (1) ◽

pp. 327-338 ◽

Cited By ~ 2

Author(s):

Ye Xu ◽

Yun Chi ◽

Ye Tian

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Complex Networks ◽

Convolutional Neural Networks ◽

Deep Convolutional Neural Networks

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MalFCS: An effective malware classification framework with automated feature extraction based on deep convolutional neural networks

Journal of Parallel and Distributed Computing ◽

10.1016/j.jpdc.2020.03.012 ◽

2020 ◽

Vol 141 ◽

pp. 49-58 ◽

Cited By ~ 2

Author(s):

Guoqing Xiao ◽

Jingning Li ◽

Yuedan Chen ◽

Kenli Li

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Convolutional Neural Networks ◽

Deep Convolutional Neural Networks ◽

Malware Classification ◽

Classification Framework ◽

Automated Feature Extraction

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Soil properties: Their prediction and feature extraction from the LUCAS spectral library using deep convolutional neural networks

Geoderma ◽

10.1016/j.geoderma.2021.115366 ◽

2021 ◽

Vol 402 ◽

pp. 115366

Author(s):

Liang Zhong ◽

Xi Guo ◽

Zhe Xu ◽

Meng Ding

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Soil Properties ◽

Convolutional Neural Networks ◽

Spectral Library ◽

Deep Convolutional Neural Networks

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