Random sampling for fast face sketch synthesis
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[1] Lei Zhang,et al. Weighted Nuclear Norm Minimization with Application to Image Denoising , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Igor Skrjanc,et al. Editorial A Successful Change From TNN to TNNLS and a Very Successful Year , 2013, IEEE Trans. Neural Networks Learn. Syst..
[3] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[4] Fei Gao,et al. Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking , 2017, IEEE Transactions on Cybernetics.
[5] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[6] Ping Li,et al. Hierarchical Gaussian Processes model for multi-task learning , 2018, Pattern Recognit..
[7] Dacheng Tao,et al. Algorithm-Dependent Generalization Bounds for Multi-Task Learning , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Xuelong Li,et al. Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation , 2012, IEEE Transactions on Circuits and Systems for Video Technology.
[9] Hyeonjoon Moon,et al. The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Jiawei Zhang,et al. Fast Preprocessing for Robust Face Sketch Synthesis , 2017, IJCAI.
[12] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Qiang Yang,et al. Understanding How Feature Structure Transfers in Transfer Learning , 2017, IJCAI.
[14] Ming-Hsuan Yang,et al. Real-Time Exemplar-Based Face Sketch Synthesis , 2014, ECCV.
[15] Xuelong Li,et al. Transductive Face Sketch-Photo Synthesis , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[16] Zhe L. Lin,et al. Fast Image Super-Resolution Based on In-Place Example Regression , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Quan Pan,et al. Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Lei Zhang,et al. Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision , 2016, International Journal of Computer Vision.
[19] Arun Ross,et al. On automated source selection for transfer learning in convolutional neural networks , 2018, Pattern Recognit..
[20] A. Martínez,et al. The AR face databasae , 1998 .
[21] Kong Fan-rang,et al. Face sketch synthesis and recognition based on independent subspace , 2012 .
[22] Hao Zhou,et al. Markov Weight Fields for face sketch synthesis , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[23] 王晓刚,et al. Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition , 2011 .
[24] D. Yeung,et al. Super-resolution through neighbor embedding , 2004, CVPR 2004.
[25] Aleix M. Martinez,et al. The AR face database , 1998 .
[26] Amit R.Sharma,et al. Face Photo-Sketch Synthesis and Recognition , 2012 .
[27] Xuelong Li,et al. A Comprehensive Survey to Face Hallucination , 2013, International Journal of Computer Vision.
[28] Xuelong Li,et al. Multiple Representations-Based Face Sketch–Photo Synthesis , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[29] Jie Li,et al. Superpixel-Based Face Sketch–Photo Synthesis , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[30] Jiawei Zhang,et al. Learning to Hallucinate Face Images via Component Generation and Enhancement , 2017, IJCAI.
[31] Jun Yu,et al. Multitask Autoencoder Model for Recovering Human Poses , 2018, IEEE Transactions on Industrial Electronics.
[32] Xiaogang Wang,et al. Face photo recognition using sketch , 2002, Proceedings. International Conference on Image Processing.
[33] Svetlana Lazebnik,et al. Iterative quantization: A procrustean approach to learning binary codes , 2011, CVPR 2011.
[34] Lei Zhang,et al. End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning , 2015, ICMR.
[35] Songde Ma,et al. Guest Editorial Introduction to the Special Issue on Image- and Video-Based Biometrics , 2004, IEEE Trans. Circuits Syst. Video Technol..
[36] Xuelong Li,et al. Heterogeneous image transformation , 2013, Pattern Recognit. Lett..
[37] Xiaogang Wang,et al. Face sketch recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.
[38] Ming-Hsuan Yang,et al. Stylizing face images via multiple exemplars , 2017, Comput. Vis. Image Underst..
[39] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[40] Ja-Chen Lin,et al. A new LDA-based face recognition system which can solve the small sample size problem , 1998, Pattern Recognit..
[41] David G. Lowe,et al. Scalable Nearest Neighbor Algorithms for High Dimensional Data , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Jiri Matas,et al. XM2VTSDB: The Extended M2VTS Database , 1999 .
[43] Ian T. Jolliffe,et al. Principal Component Analysis , 2002, International Encyclopedia of Statistical Science.
[44] Xinbo Gao,et al. Back projection: An effective postprocessing method for GAN-based face sketch synthesis , 2017, Pattern Recognit. Lett..
[45] Hanqing Lu,et al. A nonlinear approach for face sketch synthesis and recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).