Hong Chen
Hebei University of Technology
7 Papers
11 Citations
Hong Chen is an academic researcher from Hebei University of Technology. The author has contributed to research in topics: Computer science & Convolutional neural network. The author has an hindex of 2, co-authored 4 publications. Previous affiliations of Hong Chen include Hebei Normal University of Science and Technology.
Chat about Author
Papers
Hybrid Depth-Separable Residual Networks for Hyperspectral Image Classification
TL;DR: A novel deep convolutional network structure, namely, a hybrid depth-separable residual network, for HSI classification, called HDSRN is proposed, which reduces the computational cost and alleviates the decline in accuracy.
Gesture recognition of graph convolutional neural network based on spatial domain
TL;DR: A gesture recognition algorithm is designed that uses Graph-SAGE to recognize the graph-structured data of the gesture, and uses the Adaboost algorithm to combine the two strong classifiers of the random forest and the support vector machine into a cascade classifier through the cascade structure.
3
Graph Convolutional Neural Network Gesture Recognition Based on Pooling Algorithm
TL;DR: Wang et al. as discussed by the authors used the Mixup method to perform data enhancement processing on the collected image data set, applies the pyramid pooling method to the EigenPooL model to achieve efficient capture of image features and selects the Sigmoid function and the PReLU function as the activation function of the network model to meet the model's requirements, such as long time training and strong fitting ability.
2
Deep graph convolutional network-based high-performance detection method for spectral domain gesture image stream
Hong Chen,Qingjia Geng,Aiyong Liu,Hongdong Zhao +3 more
- 19 Sep 2022
TL;DR: In this article , the spectral clustering method of graph wavelet neural network and support vector machine (SVM) was used as a classifier to improve the accuracy of the generated graph data.
Patent
Device for synthesizing A-class solar simulator spectrum through three Gaussian spectrums
Hongdong Zhao,Hong Chen,Zhao Cuijie,H S Ahamed,Li Zhiyong,Wang Luoxin,Sun Mei +6 more
- 22 Feb 2017
TL;DR: In this article, a beam combiner was proposed to synthesize an A-class solar simulator spectrum through three Gaussian spectrums, which is used for spectroscopy or colorimetry.