Artigos de revistas sobre o tema "Convolutional Dictionary Learning (CDL)"
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Li, Jing, Xiao Wei, Fengpin Wang e Jinjia Wang. "IPGM: Inertial Proximal Gradient Method for Convolutional Dictionary Learning". Electronics 10, n.º 23 (3 de dezembro de 2021): 3021. http://dx.doi.org/10.3390/electronics10233021.
Texto completo da fonteTurquais, Pierre, Endrias G. Asgedom e Walter Söllner. "A method of combining coherence-constrained sparse coding and dictionary learning for denoising". GEOPHYSICS 82, n.º 3 (1 de maio de 2017): V137—V148. http://dx.doi.org/10.1190/geo2016-0164.1.
Texto completo da fonteSong, Andrew, Bahareh Tolooshams e Demba Ba. "Gaussian Process Convolutional Dictionary Learning". IEEE Signal Processing Letters 29 (2022): 95–99. http://dx.doi.org/10.1109/lsp.2021.3127471.
Texto completo da fonteGao, Fangyuan, Xin Deng, Mai Xu, Jingyi Xu e Pier Luigi Dragotti. "Multi-Modal Convolutional Dictionary Learning". IEEE Transactions on Image Processing 31 (2022): 1325–39. http://dx.doi.org/10.1109/tip.2022.3141251.
Texto completo da fonteChun, Il Yong, e Jeffrey A. Fessler. "Convolutional Dictionary Learning: Acceleration and Convergence". IEEE Transactions on Image Processing 27, n.º 4 (abril de 2018): 1697–712. http://dx.doi.org/10.1109/tip.2017.2761545.
Texto completo da fonteSong, Andrew H., Francisco J. Flores e Demba Ba. "Convolutional Dictionary Learning With Grid Refinement". IEEE Transactions on Signal Processing 68 (2020): 2558–73. http://dx.doi.org/10.1109/tsp.2020.2986897.
Texto completo da fonteWan, Fucheng, Dengyun Zhu, Xiangzhen He, Qi Guo, Dongjiao Zhang, Zhenyang Ren e Yuxiang Du. "Agricultural Product Recommendation Model based on BMF". Applied Mathematics and Nonlinear Sciences 5, n.º 2 (1 de julho de 2020): 415–24. http://dx.doi.org/10.2478/amns.2020.2.00060.
Texto completo da fonteMansha, Sameen, Hoang Thanh Lam, Hongzhi Yin, Faisal Kamiran e Mohsen Ali. "Layered convolutional dictionary learning for sparse coding itemsets". World Wide Web 22, n.º 5 (11 de maio de 2018): 2225–39. http://dx.doi.org/10.1007/s11280-018-0565-2.
Texto completo da fonteMolla, Md Rony, e Ma Jian Fen. "Convolutional Sparse Coding Multiple Instance Learning for Whole Slide Image Classification". International Journal of Advanced Engineering Research and Science 10, n.º 12 (2023): 096–104. http://dx.doi.org/10.22161/ijaers.1012.10.
Texto completo da fonteHumbert, Pierre, Laurent Oudre, Nicolas Vayatis e Julien Audiffren. "Tensor Convolutional Dictionary Learning With CP Low-Rank Activations". IEEE Transactions on Signal Processing 70 (2022): 785–96. http://dx.doi.org/10.1109/tsp.2021.3135695.
Texto completo da fonteGhansah, Benjamin. "Convolutional Locality-Sensitive Dictionary Learning for Facial Expressions Detection". International Journal of Data Analytics 3, n.º 1 (janeiro de 2022): 1–28. http://dx.doi.org/10.4018/ijda.297520.
Texto completo da fontePeng, Guan-Ju. "Adaptive ADMM for Dictionary Learning in Convolutional Sparse Representation". IEEE Transactions on Image Processing 28, n.º 7 (julho de 2019): 3408–22. http://dx.doi.org/10.1109/tip.2019.2896541.
Texto completo da fonteGarcia-Cardona, Cristina, e Brendt Wohlberg. "Convolutional Dictionary Learning: A Comparative Review and New Algorithms". IEEE Transactions on Computational Imaging 4, n.º 3 (setembro de 2018): 366–81. http://dx.doi.org/10.1109/tci.2018.2840334.
Texto completo da fonteMartin-del-Campo, Sergio, Fredrik Sandin e Stephan Schnabel. "Algorithmic performance constraints for wind turbine condition monitoring via convolutional sparse coding with dictionary learning". Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 235, n.º 4 (5 de janeiro de 2021): 660–75. http://dx.doi.org/10.1177/1748006x20984260.
Texto completo da fonteYin, Luqiao, Wenqing Gao e Jingjing Liu. "Deep Convolutional Dictionary Learning Denoising Method Based on Distributed Image Patches". Electronics 13, n.º 7 (28 de março de 2024): 1266. http://dx.doi.org/10.3390/electronics13071266.
Texto completo da fonteMURAMATSU, Shogo. "Convolutional dictionary learning based on filter bank theory : Convolutional network construction using structural constraints". IEICE ESS Fundamentals Review 17, n.º 2 (1 de outubro de 2023): 116–25. http://dx.doi.org/10.1587/essfr.17.2_116.
Texto completo da fonteLiu, Jialin, Cristina Garcia-Cardona, Brendt Wohlberg e Wotao Yin. "First- and Second-Order Methods for Online Convolutional Dictionary Learning". SIAM Journal on Imaging Sciences 11, n.º 2 (janeiro de 2018): 1589–628. http://dx.doi.org/10.1137/17m1145689.
Texto completo da fonteLi, Guang, Xianjie Gu, Zhengyong Ren, Qihong Wu, Xiaoqiong Liu, Liang Zhang, Donghan Xiao e Cong Zhou. "Deep Learning Optimized Dictionary Learning and Its Application in Eliminating Strong Magnetotelluric Noise". Minerals 12, n.º 8 (12 de agosto de 2022): 1012. http://dx.doi.org/10.3390/min12081012.
Texto completo da fonteAlmadani, Murad, Umair bin Waheed, Mudassir Masood e Yangkang Chen. "Dictionary learning with convolutional structure for seismic data denoising and interpolation". GEOPHYSICS 86, n.º 5 (27 de julho de 2021): V361—V374. http://dx.doi.org/10.1190/geo2019-0689.1.
Texto completo da fonteWang, Junzhe, Brendt Wohlberg e R. B. A. Adamson. "Convolutional dictionary learning for blind deconvolution of optical coherence tomography images". Biomedical Optics Express 13, n.º 4 (3 de março de 2022): 1834. http://dx.doi.org/10.1364/boe.447394.
Texto completo da fontePeng, Guan-Ju. "Joint and Direct Optimization for Dictionary Learning in Convolutional Sparse Representation". IEEE Transactions on Neural Networks and Learning Systems 31, n.º 2 (fevereiro de 2020): 559–73. http://dx.doi.org/10.1109/tnnls.2019.2906074.
Texto completo da fonteZhou, Fengtao, Sheng Huang e Yun Xing. "Deep Semantic Dictionary Learning for Multi-label Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de maio de 2021): 3572–80. http://dx.doi.org/10.1609/aaai.v35i4.16472.
Texto completo da fonteWohlberg, Brendt, e Przemek Wozniak. "PSF Estimation in Crowded Astronomical Imagery as a Convolutional Dictionary Learning Problem". IEEE Signal Processing Letters 28 (2021): 374–78. http://dx.doi.org/10.1109/lsp.2021.3050706.
Texto completo da fonteGuo, Xiyang. "Research on Mushroom Image Classification Algorithm Based on Deep Sparse Dictionary Learning". Academic Journal of Science and Technology 9, n.º 1 (20 de janeiro de 2024): 235–40. http://dx.doi.org/10.54097/1f3xnx82.
Texto completo da fonteTanuja, Nukapeyyi. "Medical Image Fusion Using Deep Learning Mechanism". International Journal for Research in Applied Science and Engineering Technology 10, n.º 1 (31 de janeiro de 2022): 128–36. http://dx.doi.org/10.22214/ijraset.2022.39809.
Texto completo da fonteWang, Xuchu, Fusheng Wang e Yanmin Niu. "A Convolutional Neural Network Combining Discriminative Dictionary Learning and Sequence Tracking for Left Ventricular Detection". Sensors 21, n.º 11 (26 de maio de 2021): 3693. http://dx.doi.org/10.3390/s21113693.
Texto completo da fonteWang, Wenzheng, Yuqi Han, Chenwei Deng e Zhen Li. "Hyperspectral Image Classification via Deep Structure Dictionary Learning". Remote Sensing 14, n.º 9 (8 de maio de 2022): 2266. http://dx.doi.org/10.3390/rs14092266.
Texto completo da fonteMushtaq, Zaid Bin, Shoaib Mohd Nasti, Chaman Verma, Maria Simona Raboca, Neerendra Kumar e Samiah Jan Nasti. "Super Resolution for Noisy Images Using Convolutional Neural Networks". Mathematics 10, n.º 5 (28 de fevereiro de 2022): 777. http://dx.doi.org/10.3390/math10050777.
Texto completo da fonteShao, Jie, e Yibo Wang. "Simultaneous inversion of Q and reflectivity using dictionary learning". GEOPHYSICS 86, n.º 5 (1 de setembro de 2021): R763—R776. http://dx.doi.org/10.1190/geo2020-0095.1.
Texto completo da fonteLiu, Fengshuang, Jiachen Ma e Qiang Wang. "Atom-substituted tensor dictionary learning enhanced convolutional neural network for hyperspectral image classification". Neurocomputing 455 (setembro de 2021): 215–28. http://dx.doi.org/10.1016/j.neucom.2021.05.051.
Texto completo da fonteLi, Pengyu, Yali Zhang, Ze Li e Jinjia Wang. "Iterative shrinkage-thresholding algorithm with inertia and dry friction for convolutional dictionary learning". Digital Signal Processing 140 (agosto de 2023): 104139. http://dx.doi.org/10.1016/j.dsp.2023.104139.
Texto completo da fonteFarmonov, Nizom, Khilola Amankulova, Shahid Nawaz Khan, Mokhigul Abdurakhimova, József Szatmári, Tukhtaeva Khabiba, Radjabova Makhliyo, Meiliyeva Khodicha e László Mucsi. "Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting". Hungarian Geographical Bulletin 72, n.º 4 (12 de janeiro de 2024): 383–98. http://dx.doi.org/10.15201/hungeobull.72.4.4.
Texto completo da fonteHe, Liu, Cai Yi, Jianhui Lin e Andy C. C. Tan. "Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization". Shock and Vibration 2020 (18 de novembro de 2020): 1–27. http://dx.doi.org/10.1155/2020/8879732.
Texto completo da fonteJia, Bairu, Jindong Xu, Haihua Xing e Peng Wu. "Remote Sensing Image Fusion Based on Morphological Convolutional Neural Networks with Information Entropy for Optimal Scale". Sensors 22, n.º 19 (27 de setembro de 2022): 7339. http://dx.doi.org/10.3390/s22197339.
Texto completo da fonteJha, Dipendra, Saransh Singh, Reda Al-Bahrani, Wei-keng Liao, Alok Choudhary, Marc De Graef e Ankit Agrawal. "Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks". Microscopy and Microanalysis 24, n.º 5 (outubro de 2018): 497–502. http://dx.doi.org/10.1017/s1431927618015131.
Texto completo da fonteZhang, Xuesong, Baoping Li e Jing Jiang. "Hessian Free Convolutional Dictionary Learning for Hyperspectral Imagery With Application to Compressive Chromo-Tomography". IEEE Access 8 (2020): 104216–31. http://dx.doi.org/10.1109/access.2020.2999457.
Texto completo da fonteDonati, Giovanni, Michele Basso, Graziano A. Manduzio, Marco Mugnaini, Tommaso Pecorella e Chiara Camerota. "A Convolutional Neural Network for Electrical Fault Recognition in Active Magnetic Bearing Systems". Sensors 23, n.º 16 (8 de agosto de 2023): 7023. http://dx.doi.org/10.3390/s23167023.
Texto completo da fonteÖztürk, Şaban. "Convolutional neural network based dictionary learning to create hash codes for content-based image retrieval". Procedia Computer Science 183 (2021): 624–29. http://dx.doi.org/10.1016/j.procs.2021.02.106.
Texto completo da fonteBen-Cohen, Avi, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Marianne Amitai e Hayit Greenspan. "Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations". Neurocomputing 275 (janeiro de 2018): 1585–94. http://dx.doi.org/10.1016/j.neucom.2017.10.001.
Texto completo da fonteKang, Yanqin, Jin Liu, Fan Wu, Kun Wang, Jun Qiang, Dianlin Hu e Yikun Zhang. "Deep convolutional dictionary learning network for sparse view CT reconstruction with a group sparse prior". Computer Methods and Programs in Biomedicine 244 (fevereiro de 2024): 108010. http://dx.doi.org/10.1016/j.cmpb.2024.108010.
Texto completo da fonteGuo, Quanyi. "Occluded Face Recognition based on Deep Learning". Frontiers in Computing and Intelligent Systems 5, n.º 2 (1 de setembro de 2023): 120–23. http://dx.doi.org/10.54097/fcis.v5i2.13134.
Texto completo da fonteGu, Binjie, Weili Xiong e Zhonghu Bai. "Human Action Recognition Based on Supervised Class-specific Dictionary Learning with Deep Convolutional Neural Network Features". Computers, Materials & Continua 62, n.º 3 (2020): 243–62. http://dx.doi.org/10.32604/cmc.2020.06898.
Texto completo da fonteDong, Qunxi, Jie Zhang, Qingyang Li, Junwen Wang, Natasha Leporé, Paul M. Thompson, Richard J. Caselli, Jieping Ye e Yalin Wang. "Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images". Journal of Alzheimer's Disease 75, n.º 3 (2 de junho de 2020): 971–92. http://dx.doi.org/10.3233/jad-190973.
Texto completo da fonteXu, Mengchao, Qian Liu, Dexuan Sha, Manzhu Yu, Daniel Q. Duffy, William M. Putman, Mark Carroll, Tsengdar Lee e Chaowei Yang. "PreciPatch: A Dictionary-based Precipitation Downscaling Method". Remote Sensing 12, n.º 6 (23 de março de 2020): 1030. http://dx.doi.org/10.3390/rs12061030.
Texto completo da fonteMłynarski, Wiktor, e Josh H. McDermott. "Learning Midlevel Auditory Codes from Natural Sound Statistics". Neural Computation 30, n.º 3 (março de 2018): 631–69. http://dx.doi.org/10.1162/neco_a_01048.
Texto completo da fonteWang, Pengxin, Liuyang Song, Yansong Hao, Huaqing Wang, Shi Li e Lingli Cui. "A light intelligent diagnosis model based on improved Online Dictionary Learning sample-making and simplified convolutional neural network". Measurement 183 (outubro de 2021): 109813. http://dx.doi.org/10.1016/j.measurement.2021.109813.
Texto completo da fonteNguyen, Franck, Selim M. Barhli, Daniel Pino Muñoz e David Ryckelynck. "Computer Vision with Error Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests". Complexity 2018 (2 de dezembro de 2018): 1–10. http://dx.doi.org/10.1155/2018/3791543.
Texto completo da fonteZhou, Qing, Zuren Feng e Emmanouil Benetos. "Adaptive Noise Reduction for Sound Event Detection Using Subband-Weighted NMF". Sensors 19, n.º 14 (20 de julho de 2019): 3206. http://dx.doi.org/10.3390/s19143206.
Texto completo da fonteHong, Jia-Sheng, Ingo Hermann, Frank Gerrit Zöllner, Lothar R. Schad, Shuu-Jiun Wang, Wei-Kai Lee, Yung-Lin Chen, Yu Chang e Yu-Te Wu. "Acceleration of Magnetic Resonance Fingerprinting Reconstruction Using Denoising and Self-Attention Pyramidal Convolutional Neural Network". Sensors 22, n.º 3 (7 de fevereiro de 2022): 1260. http://dx.doi.org/10.3390/s22031260.
Texto completo da fonteLi, Chen, e Fanfan Li. "Emotion recognition of social media users based on deep learning". PeerJ Computer Science 9 (14 de junho de 2023): e1414. http://dx.doi.org/10.7717/peerj-cs.1414.
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