[1] Feixiang Zhao,Liu Y,Huo K,et al.Radar HRRP target recognition based on stacked autoencoder and extreme learning machine[J].Sensors,2018,18(1):173.
[2] Feng B,Chen B,Liu H.Radar HRRP target recognition with deep networks[J].Pattern Recognition,2017,61:379-393.
[3] 陈志仁,顾红,苏卫民,王钊.改进的支持向量机低分辨雷达目标分类算法[J].系统工程与电子技术,2017,39(11):2456-2462. CHEN Z R,GU H,SU W M,et al.Improved support vector machine target classification algorithm for low-resolution radar[J].Systems Engineering and Electronics,2017,39(11):2456-2462.(in Chinese)
[4] HU G,WANG K J,PENG Yuan,et al.Deep learning methods for underwater target feature extraction and recognition[J].Computational Intelligence and Neuroscience,2018,2018(3):1-10.
[5] Ding J,Chen B,Liu H,et al.Convolutional neural network with data augmentation for SAR target recognition[J].IEEE Geoscience and Remote Sensing Letters,2016,13(3):364-368.
[6] SUN X J,LI J R,GU L,et al.Identifying the characteristics of the hypusination sites using SMOTE and SVM algorithm with feature selection[J].Current Proteomics,2018,15(2):111-118.
[7] FIORE U,SANTIS A D,PERLA F,et al.Using generative adversarial networks for improving classification effectiveness in credit card fraud detection.[J].Information Sciences,2017,479:448-455.
[8] HU C,XIONG D H,ZHANG Q Y.et al.Parallel connected generative adversarial network with quadratic operation for SAR image generation and application for classification[J].Sensors 2019,19(4):871.
[9] IlYASS H,JAYANT S G,VINCENT F.Anomaly detection with Wasserstein GAN[DB/OL].https://arxiv.org/pdf/1812.02463.pdf,2018-12-02.
[10] VIVEK K S,SANTIAGO R,HATEM A R,et al.Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification[DB/OL].https://arxiv.org/pdf/1805.10207.pdf,2018-05-10.
[11] VIVEK K S,HATEM A.R,SANTIAGO R,et al.Breast Tumor Segmentation and Shape Classification in Mammograms Using Generative Adversarial and Convolutional Neural Network[DB/OL].https://arxiv.org/pdf/1809.01687.pdf,2018-09-01.
[12] Shorten C,Khoshgoftaar T M.A Survey on Image Data Augmentation for Deep Learning.[DB/OL].https://link.springer.com/article/10.1186/s40537-019-0197-0,2019-06-01.
[13] GOODFELLOW I J,POUGET Abadie J,MIRZA M,XU B,et al.Generative adversarial nets[A].Proceedings of the 27th International Conference on Neural Information Processing Systems[C].New York,Curran Associates,2014.2672-2680.
[14] ODENA A,OLAH C,SHLENS J.Conditional Image Synthesis with Auxiliary Classifier GANs[DB/OL].https://arxiv.org/pdf/1610.09585.pdf,2016-10-09.
[15] LIN T Y,GOYAL P,GIRSHICK R,et al.Focal loss for dense object detection[A].IEEE International Conference on Computer Vision[C].Washington:IEEE Computer Society,2017.2999-3007.
[16] ALEC R,LUKE M,SOUMITH C.Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks[DB/OL].https://arxiv.org/pdf/1511.06434.pdf,2015-11-06. |