Fig. 7.Convolutional neural network. The convolutional layer uses theconvolution operationto achieve the weight sharing while the subsampling is used to reduce the dimension. Take a 2-dimensional imagexas example. The image is firstly decomposed into a sequential inputx={x1,x2,…,xN}. To share...
Joshna VangalaDepartment of Computer ScienceJournal of Computer Science & Systems Biology
@article{zhang2020ifcnn, title={IFCNN: A general image fusion framework based on convolutional neural network}, author={Zhang, Yu and Liu, Yu and Sun, Peng and Yan, Han and Zhao, Xiaolin and Zhang, Li}, journal={Information Fusion}, volume={54}, pages={99--118}, year={2020}, pub...
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Convolutional Neural Network Neural Network Convolutional Layer Long Short-Term Memory Network Residual Neural Network U-Net View all Topics Recommended publications Neurocomputing Journal Pattern Recognition Journal Computers in Biology and Medicine Journal Biomedical Signal Processing and Control JournalBrowse...
title = "Attention pooling-based convolutional neural network for sentence modelling ", journal = "Information Sciences ", volume = "373", number = "", pages = "388 - 403", year = "2016", note = "", issn = "0020-0255", doi = "http://dx.doi.org/10.1016/j.ins.2016.08.084", ...
Image feature categorization has emerged as a crucial component in many domains, including computer vision, machine learning, and biometrics, in the dynamic environment of big data and cloud computing. It is extremely difficult to guarantee image data se
Neural network-based machine learning has recently proven successful for many complex applications ranging from image recognition to precision medicine. However, its direct application to problems in quantum physics is challenging due to the exponential complexity of many-body systems. Motivated by recent...
原文链接:Remote Sensing | Free Full-Text | Pansharpening by Convolutional Neural Networks (mdpi.com) 0 摘要 提出了一种基于卷积神经网络的泛锐化(pansharpening)方法。我们采用了一种简单有效的三层架构来解决pansharpening问题。此外,为了在不增加复杂性的情况下提高性能,我们通过包括几个典型的遥感非线性辐射指数...