Computer Science ›› 2020, Vol. 47 ›› Issue (5): 124-128.doi: 10.11896/jsjkx.190400136
• Computer Graphics & Multimedia • Previous Articles Next Articles
WANG Hang1, CHEN Xiao2, TIAN Sheng-zhao1, CHEN Duan-bing1,3
CLC Number:
[1]FENG J,LIU L,CAO X,et al.Marginal Stacked Autoencoder With Adaptively-Spatial Regularization for Hyperspectral Image Classification [J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018,11(9):3297-3311. [2]MOCANU C,MOCANU E.One-Shot Learning using Mixture of Variational Autoencoders:a Generalization Learning approach [C]//Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems.Stockholm,Sweden,2018:2016-2018. [3]YANG Q,SUN F.Small sample learning with high order contractive auto-encoders and application in SAR images[J].Science China Information Sciences,2018,61(9):271-273. [4]WANG X,MU S,SHI A,et al.A Stacked Denoising Autoenco-der Based on Supervised Pre-training[C]//Smart Innovations in Communication and Computational Sciences.Singapore:Sprin-ger,2019:139-146. [5]WANG H,CHEN S,XU F,et al.Application of deep-learning algorithms to MSTAR data[C]//2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).Milan,2015:3743-3745. [6]ZAIED S,TOUMI A,KHENCHAF A.Target classificationusing convolutional deep learning and auto-encoder models[C]//2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).Sousse,2018:1-6. [7]ZHAO F.SAR Image Target Recognition Based on Deep Lear-ning Network[D].Xi'an:Xidian University,2017. [8]JIA Z,GUANGCHANG D,FENG C,et al.A Deep LearningFusion Recognition Method Based On SAR Image Data[J].Procedia Computer Science,2019,147:533-541. [9]CHEN Y,MENG H,WEN X,et al.Classification methods of a small sample target object in the sky based on the higher layer visualizing feature and transfer learning deep networks[J].EURASIP Journal on Wireless Communications and Networking,2018,2018(1):127. [10]LADES M,VORBRUGGEN J C,BUHMANN J.Distortion invariant object recognition in the dynamic link architecture[J].IEEE Transaction on Computer,1993,42(3):300-311. [11]JONES J P,PALMER L A.An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex[J].Journal of Neurophysiology,1987,58(6):1233-1258. [12]MOU H.Face Recognition Method Based on Gabor Features[D].Wuhan:South-Central University for Nationalities,2013. [13]NI W,YAN W,WU J,et al.2D Gabor Filter Enhancing andAdaptiveThresholding for MSTAR Image[J].Opto-Electronic Engineering,2013,40(3):87-93. [14] SIMONYAN K,ZISSERMAN A.Very Deep Convolutional Networks for Large-Scale Image Recognition[J].arXiv:14096. |
[1] | WANG Guan-yu, ZHONG Ting, FENG Yu, ZHOU Fan. Collaborative Filtering Recommendation Method Based on Vector Quantization Coding [J]. Computer Science, 2022, 49(9): 48-54. |
[2] | ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong. Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [J]. Computer Science, 2022, 49(9): 155-161. |
[3] | XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai. Temporal Knowledge Graph Representation Learning [J]. Computer Science, 2022, 49(9): 162-171. |
[4] | RAO Zhi-shuang, JIA Zhen, ZHANG Fan, LI Tian-rui. Key-Value Relational Memory Networks for Question Answering over Knowledge Graph [J]. Computer Science, 2022, 49(9): 202-207. |
[5] | LIU Xin, WANG Jun, SONG Qiao-feng, LIU Jia-hao. Collaborative Multicast Proactive Caching Scheme Based on AAE [J]. Computer Science, 2022, 49(9): 260-267. |
[6] | TANG Ling-tao, WANG Di, ZHANG Lu-fei, LIU Sheng-yun. Federated Learning Scheme Based on Secure Multi-party Computation and Differential Privacy [J]. Computer Science, 2022, 49(9): 297-305. |
[7] | WANG Jian, PENG Yu-qi, ZHAO Yu-fei, YANG Jian. Survey of Social Network Public Opinion Information Extraction Based on Deep Learning [J]. Computer Science, 2022, 49(8): 279-293. |
[8] | HAO Zhi-rong, CHEN Long, HUANG Jia-cheng. Class Discriminative Universal Adversarial Attack for Text Classification [J]. Computer Science, 2022, 49(8): 323-329. |
[9] | JIANG Meng-han, LI Shao-mei, ZHENG Hong-hao, ZHANG Jian-peng. Rumor Detection Model Based on Improved Position Embedding [J]. Computer Science, 2022, 49(8): 330-335. |
[10] | CHEN Yong-quan, JIANG Ying. Analysis Method of APP User Behavior Based on Convolutional Neural Network [J]. Computer Science, 2022, 49(8): 78-85. |
[11] | ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji. Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [J]. Computer Science, 2022, 49(8): 113-119. |
[12] | SUN Qi, JI Gen-lin, ZHANG Jie. Non-local Attention Based Generative Adversarial Network for Video Abnormal Event Detection [J]. Computer Science, 2022, 49(8): 172-177. |
[13] | HOU Yu-tao, ABULIZI Abudukelimu, ABUDUKELIMU Halidanmu. Advances in Chinese Pre-training Models [J]. Computer Science, 2022, 49(7): 148-163. |
[14] | ZHOU Hui, SHI Hao-chen, TU Yao-feng, HUANG Sheng-jun. Robust Deep Neural Network Learning Based on Active Sampling [J]. Computer Science, 2022, 49(7): 164-169. |
[15] | SU Dan-ning, CAO Gui-tao, WANG Yan-nan, WANG Hong, REN He. Survey of Deep Learning for Radar Emitter Identification Based on Small Sample [J]. Computer Science, 2022, 49(7): 226-235. |
|