Data-independent feature learning with Markov random fields in convolutional neural networks

Research on feature extraction method of ship radiated noise with K-nearest neighbor mutual information variational mode decomposition, neural network estimation …

G Li, F Liu, H Yang - Measurement, 2022 - Elsevier
Complicated and changeable ocean environment causes the particularity of ocean
background noise. Therefore, feature extraction of ship radiated noise is an urgent problem …
被引用次数：31 相关文章 所有 2 个版本

Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification

HM Sahin, B Grieve, H Yin - International Conference on Intelligent Data …, 2023 - Springer
In the last decades, computer vision tasks such as face recognition, pattern classification,
and object detection, have been extensively explored due to advances in computing …
相关文章 所有 2 个版本
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Analysis and Optimization of Flute Playing and Teaching System Based on Convolutional Neural Network

C Xu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Influenced by cultural background, economic development, social system, education system,
and other factors, there is still a big gap between Chinese institutions and developed …
被引用次数：2 相关文章 所有 7 个版本

Check for updates Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification

HM Sahin iD, B Grieve, H Yin - Intelligent Data Engineering and …, 2023 - books.google.com
In the last decades, computer vision tasks such as face recognition, pattern classification,
and object detection, have been extensively explored due to advances in computing …
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[图书][B] Unsupervised Image Feature Learning for Convolutional Neural Networks

R Hankins - 2019 - search.proquest.com
Robust solutions to image classification is a challenging task since approaches should be
able to successfully discriminate between the different classes, whilst being able to …
相关文章 所有 4 个版本