Recognition and classification of damaged fingerprint based on deep learning fuzzy theory
暂无分享,去创建一个
[1] Marios Anthimopoulos,et al. Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network , 2016, IEEE Transactions on Medical Imaging.
[2] Chi-Man Vong,et al. Local Receptive Fields Based Extreme Learning Machine , 2015, IEEE Computational Intelligence Magazine.
[3] Yijun Guo,et al. Identification and verification of differentially expressed microRNAs and their target genes for the diagnosis of esophageal cancer , 2018, Oncology letters.
[4] Chen-Yi Lee,et al. A Hardware-Efficient Sigmoid Function With Adjustable Precision for a Neural Network System , 2015, IEEE Transactions on Circuits and Systems II: Express Briefs.
[5] Arminda Moreno-Diaz,et al. Distributed, layered and reliable computing nets to represent neuronal receptive fields. , 2013, Mathematical biosciences and engineering : MBE.
[6] Deborah Estrin,et al. Characterizing User Skills from Application Usage Traces with Hierarchical Attention Recurrent Networks , 2018, ACM Trans. Intell. Syst. Technol..
[7] Michael Unser,et al. Deep Convolutional Neural Network for Inverse Problems in Imaging , 2016, IEEE Transactions on Image Processing.
[8] Wojciech Mazurczyk,et al. Trends in steganography , 2014, Commun. ACM.
[9] Xiao Han,et al. MR‐based synthetic CT generation using a deep convolutional neural network method , 2017, Medical physics.
[10] Jiangchuan Liu,et al. i2tag: RFID Mobility and Activity Identification Through Intelligent Profiling , 2017, ACM Trans. Intell. Syst. Technol..
[11] Yuxin Peng,et al. The application of two-level attention models in deep convolutional neural network for fine-grained image classification , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Jiaxiang Du,et al. Identification and verification of potential piRNAs from domesticated yak testis , 2017, Reproduction.