We introduce a new family of deep neural networks. Instead of the conventional representation of network layers as N-dimensional weight tensors, we use continuous layer representation along the filter and channel dimensions. We call such networks Integral Neural Networks (INNs). In particular, the ...
NIEs in this form comprise two neural networks, namely,KandF. We observe that in IEs, the initial condition is embedded in the equation itself, and it is not an arbitrary value to be specified as an extra condition. To solve the IE, we implement a solver that performs an iterative proced...
The pre-processed version of the dataset is available on Github: (https://github.com/USTC-HIlab/MDNNMD). This dataset consists of three different modalities, namely, Gene Expression data (GE), Copy Number Alteration (CNA) profile, and Clinical data (CLN), and each has around 24000, 26000...
using deep convolutional neural networks (CNNs). Best performing methods on 2D pose estimation are all detection based [2]. They generate a likelihood heat map for each joint and locate the joint as the point with the maximum likelihood in the map. The heat...
This data can be found here: [https://github.com/shahinur-alam/IIM-GAN, accessed on 12 March 2021]. Acknowledgments We want to thank all our colleagues who have helped us to complete the manuscript and supported both technically and mentally. Conflicts of Interest The authors declare no ...
(accessed on 14 April 2022), https://sites.google.com/view/oceandark/home for the OceanDark (accessed on 12 September 2022), https://github.com/dlut-dimt/Realworld-Underwater-Image-Enhancement-RUIE-Benchmark for the RUIE (accessed on 13 December 2021), and https://github.com/kskin/...