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1 Parchami. M, "Video-based face recognition using ensemble of haar-like deep convolutional neural networks" 2017
2 이상걸, "Variations of AlexNet and GoogLeNet to Improve Korean Character Recognition Performance" 한국정보처리학회 14 (14): 205-217, 2018
3 Tsalakanidou. F, "Use of depth and colour eigenfaces for face recognition" 24 (24): 1427-1435, 2003
4 Blanco-Gonzalo R, "Time evolution of face recognition in accessible scenarios" 5 (5): 24-24, 2015
5 Zhang. L, "Sparse representation or collaborative representation: Which helps face recognition?" 2011
6 Ya. Tu, "Semi-supervised Learning with Generative Adversarial Networks on Digital Signal Modulation Classification" 55 (55): 243-254, 2018
7 Wright. J, "Robust face recognition via sparse representation" 31 (31): 210-227, 2009
8 Vo. D. M, "Robust face recognition via hierarchical collaborative representation" 432 : 332–346-332–346, 2018
9 Zhu. Z, "Recover canonical-view faces in the wild with deep neural networks"
10 Sainath. T. N, "Multichannel signal processing with deep neural networks for automatic speech recognition" 25 (25): 965-979, 2017
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15 Maze. B, "IARPA Janus Benchmark–C: Face Dataset and Protocol" 2018
16 Whitelam. C, "IARPA Janus Benchmark-B Face Dataset" 2017
17 Yang. M, "Gabor feature based sparse representation for face recognition with gabor occlusion dictionary" 2010
18 Simonyan. K, "Fisher Vector Faces in the Wild" 2013
19 Barkan. O, "Fast high dimensional vector multiplication face recognition" 2013
20 Stephen. ID, "Facial Shape Analysis Identifies Valid Cues to Aspects of Physiological Health in Caucasian, Asian, and African Populations" 8 : 2017
21 Schroff. F, "FaceNet: A unified embedding for face recognition and clustering" 2015
22 He. X, "Face recognition using laplacianfaces" 27 (27): 328-340, 2005
23 Chen Li, "Face Recognition Based on the Combination of Enhanced Local Texture Feature and DBN under Complex Illumination Conditions" 한국정보처리학회 14 (14): 191-204, 2018
24 Tran. L, "Disentangled representation learning gan for pose-invariant face recognition" 2017
25 Taigman. Y, "DeepFace: closing the gap to human-level performance in face verification" 2014
26 Yi. Sun, "Deep learning face representation from predicting 10,000 classes" 2014
27 Yi. Sun, "Deep learning face representation by joint identification-verification" 2014
28 Ning Yu, "Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches" 한국정보처리학회 13 (13): 204-214, 2017
29 Berlemont. S, "Class-balanced siamese neural networks" 273 : 47-56, 2018
30 CHEN. Dong, "Blessing of dimensionality: high dimensional feature and its efficient compression for face verification" 2013
31 Chen. D, "Bayesian face revisited: A joint formulation" 2012