Infrared Image Super-Resolution with Parallel Random Forest
暂无分享,去创建一个
Kai Liu | Huiqian Wang | Xiaomin Yang | Wei Wu | Binyu Yan | Kai Zhou
[1] Dirk Van den Poel,et al. Predicting customer retention and profitability by using random forests and regression forests techniques , 2005, Expert Syst. Appl..
[2] Salvatore Cuomo,et al. IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario , 2017, Expert Syst. Appl..
[3] Truong Q. Nguyen,et al. Image Superresolution Using Support Vector Regression , 2007, IEEE Transactions on Image Processing.
[4] Enhua Wu,et al. Robust dense reconstruction by range merging based on confidence estimation , 2016, Science China Information Sciences.
[5] Zheng Liu,et al. Classification of defects with ensemble methods in the automated visual inspection of sewer pipes , 2015, Pattern Analysis and Applications.
[6] Jian Shen,et al. $$\varvec{\textit{KDVEM}}$$KDVEM: a $$k$$k-degree anonymity with vertex and edge modification algorithm , 2015, Computing.
[7] J. D. van Ouwerkerk,et al. Image super-resolution survey , 2006, Image Vis. Comput..
[8] Thomas S. Huang,et al. Image super-resolution as sparse representation of raw image patches , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[9] D. Yeung,et al. Super-resolution through neighbor embedding , 2004, CVPR 2004.
[10] Shutao Li,et al. Infrared surveillance image super resolution via group sparse representation , 2013 .
[11] U. Grömping. Dependence of Variable Importance in Random Forests on the Shape of the Regressor Space , 2009 .
[12] Salvatore Cuomo,et al. A Smart GPU Implementation of an Elliptic Kernel for an Ocean Global Circulation Model , 2013 .
[13] Qing Tian,et al. Cross-heterogeneous-database age estimation through correlation representation learning , 2017, Neurocomputing.
[14] Di Guo,et al. Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator , 2014, Medical Image Anal..
[15] Gwanggil Jeon,et al. Least-Squares Luma–Chroma Demultiplexing Algorithm for Bayer Demosaicking , 2011, IEEE Transactions on Image Processing.
[16] Mark R. Segal,et al. Machine Learning Benchmarks and Random Forest Regression , 2004 .
[17] Yueting Zhuang,et al. Steerable pyramid-based face hallucination , 2005, Pattern Recognit..
[18] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[19] Fu-sheng Chen,et al. Single infrared image super-resolution combining non-local means with kernel regression , 2013 .
[20] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[21] Xiangjun Zhang,et al. Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation , 2008, IEEE Transactions on Image Processing.
[22] Shiguo Lian,et al. Hybrid multiplicative multi-watermarking in DWT domain , 2017, Multidimens. Syst. Signal Process..
[23] Gwanggil Jeon,et al. Deinterlacing Using Taylor Series Expansion and Polynomial Regression , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[24] Salvatore Cuomo,et al. A Regularized MRI Image Reconstruction based on Hessian Penalty Term on CPU/GPU Systems , 2013, ICCS.
[25] Xingming Sun,et al. Segmentation-Based Image Copy-Move Forgery Detection Scheme , 2015, IEEE Transactions on Information Forensics and Security.
[26] Di Guo,et al. Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction , 2015, IEEE Transactions on Biomedical Engineering.
[27] Takeo Kanade,et al. Limits on super-resolution and how to break them , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[28] David A. Forsyth,et al. Generalizing motion edits with Gaussian processes , 2009, ACM Trans. Graph..
[29] A. Chianese,et al. A "smart" multimedia guide for indoor contextual navigation in cultural heritage applications , 2013, International Conference on Indoor Positioning and Indoor Navigation.
[30] Chenglin Zheng,et al. Single image super-resolution using self-similarity and generalized nonlocal mean , 2013, 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013).
[31] Di Guo,et al. Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging , 2015, IEEE Transactions on Medical Imaging.
[32] Zheng Liu,et al. Learning-based super resolution using kernel partial least squares , 2011, Image Vis. Comput..
[33] Bin Gu,et al. A Robust Regularization Path Algorithm for $\nu $ -Support Vector Classification , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[34] Zheng Liu,et al. Single-image super-resolution based on Markov random field and contourlet transform , 2011, J. Electronic Imaging.
[35] Xingming Sun,et al. Effective and Efficient Global Context Verification for Image Copy Detection , 2017, IEEE Transactions on Information Forensics and Security.
[36] Wei Liang,et al. Nonnegative correlation coding for image classification , 2015, Science China Information Sciences.
[37] Raanan Fattal,et al. Image and video upscaling from local self-examples , 2011, TOGS.
[38] Angelo Chianese,et al. SmaCH: A Framework for Smart Cultural Heritage Spaces , 2014, 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems.
[39] Yu-Chiang Frank Wang,et al. A Self-Learning Approach to Single Image Super-Resolution , 2013, IEEE Transactions on Multimedia.