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[1] Yoram Bresler,et al. Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications , 2015, International Journal of Computer Vision.
[2] Yonina C. Eldar,et al. Blind Compressed Sensing , 2010, IEEE Transactions on Information Theory.
[3] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[4] Guillermo Sapiro,et al. Non-local sparse models for image restoration , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[5] Vadlamani Ravi,et al. A survey on opinion mining and sentiment analysis: Tasks, approaches and applications , 2015, Knowl. Based Syst..
[6] Guan-Ming Su,et al. Content aware quantization: Requantization of high dynamic range baseband signals based on visual masking by noise and texture , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[7] Benjamin Guthier,et al. A Dataset for Psychological Human Needs Detection From Social Networks , 2017, IEEE Access.
[8] Guan-Ming Su,et al. Transim: Transfer Image Local Statistics Across EOTFS for HDR Image Applications , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[9] Ariel Shamir,et al. Seam Carving for Content-Aware Image Resizing , 2007, ACM Trans. Graph..
[10] Lei Zhang,et al. Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision , 2016, International Journal of Computer Vision.
[11] Nick Bassiliades,et al. Ontology-based sentiment analysis of twitter posts , 2013, Expert Syst. Appl..
[12] D. Donoho. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution , 2006 .
[13] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[14] Petra Kralj Novak,et al. Sentiment of Emojis , 2015, PloS one.
[15] Taoran Lu,et al. ITP Colour Space and Its Compression Performance for High Dynamic Range and Wide Colour Gamut Video Distribution , 2016 .
[16] Yanjun Li,et al. When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[17] Saif Mohammad,et al. Sentiment Analysis of Short Informal Texts , 2014, J. Artif. Intell. Res..
[18] Yoram Bresler,et al. MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning , 2011, IEEE Transactions on Medical Imaging.
[19] Stefan Harmeling,et al. Image denoising: Can plain neural networks compete with BM3D? , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[20] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[21] Andrew Cotton,et al. A Display-Independent High Dynamic Range Television System , 2016 .
[22] Jian Yang,et al. MemNet: A Persistent Memory Network for Image Restoration , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[23] Abdulmotaleb El-Saddik,et al. Survey on ontologies for affective states and their influences , 2018, Semantic Web.
[24] Uzay Kaymak,et al. Exploiting Emoticons in Polarity Classification of Text , 2015, J. Web Eng..
[25] Scott Miller,et al. Perceptual Signal Coding for More Efficient Usage of Bit Codes , 2012 .
[26] Jian Sun,et al. Deep ADMM-Net for Compressive Sensing MRI , 2016, NIPS.
[27] Saif Mohammad,et al. CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON , 2013, Comput. Intell..
[28] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[29] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[30] Yoram Bresler,et al. FRIST—flipping and rotation invariant sparsifying transform learning and applications , 2015, ArXiv.
[31] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[32] C. Andrew Segall,et al. High quality HDR video compression using HEVC main 10 profile , 2016, 2016 Picture Coding Symposium (PCS).
[33] Xianming Liu,et al. When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach , 2017, IJCAI.
[34] Yanjun Li,et al. Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[35] Roddy Cowie,et al. What a neural net needs to know about emotion words , 1999 .
[36] Guan-Ming Su,et al. Impact Analysis of Baseband Quantizer on Coding Efficiency for HDR Video , 2016, IEEE Signal Processing Letters.
[37] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[38] E. Diener,et al. Gender differences in negative affect and well-being: the case for emotional intensity. , 1991, Journal of personality and social psychology.
[39] Guan-Ming Su,et al. Single Layer Progressive Coding for High Dynamic Range Videos , 2018, 2018 Picture Coding Symposium (PCS).
[40] Scott Miller,et al. Color signal encoding for high dynamic range and wide color gamut based on human perception , 2014, Electronic Imaging.
[41] Vaibhavi N Patodkar,et al. Twitter as a Corpus for Sentiment Analysis and Opinion Mining , 2016 .
[42] D. Donoho,et al. Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.
[43] Martin Vetterli,et al. Adaptive wavelet thresholding for image denoising and compression , 2000, IEEE Trans. Image Process..