Artículos de revistas sobre el tema "Convolutional Dictionary Learning (CDL)"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Convolutional Dictionary Learning (CDL)".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Li, Jing, Xiao Wei, Fengpin Wang y Jinjia Wang. "IPGM: Inertial Proximal Gradient Method for Convolutional Dictionary Learning". Electronics 10, n.º 23 (3 de diciembre de 2021): 3021. http://dx.doi.org/10.3390/electronics10233021.
Texto completoTurquais, Pierre, Endrias G. Asgedom y Walter Söllner. "A method of combining coherence-constrained sparse coding and dictionary learning for denoising". GEOPHYSICS 82, n.º 3 (1 de mayo de 2017): V137—V148. http://dx.doi.org/10.1190/geo2016-0164.1.
Texto completoSong, Andrew, Bahareh Tolooshams y 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 completoGao, Fangyuan, Xin Deng, Mai Xu, Jingyi Xu y 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 completoChun, Il Yong y 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 completoSong, Andrew H., Francisco J. Flores y 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 completoWan, Fucheng, Dengyun Zhu, Xiangzhen He, Qi Guo, Dongjiao Zhang, Zhenyang Ren y Yuxiang Du. "Agricultural Product Recommendation Model based on BMF". Applied Mathematics and Nonlinear Sciences 5, n.º 2 (1 de julio de 2020): 415–24. http://dx.doi.org/10.2478/amns.2020.2.00060.
Texto completoMansha, Sameen, Hoang Thanh Lam, Hongzhi Yin, Faisal Kamiran y Mohsen Ali. "Layered convolutional dictionary learning for sparse coding itemsets". World Wide Web 22, n.º 5 (11 de mayo de 2018): 2225–39. http://dx.doi.org/10.1007/s11280-018-0565-2.
Texto completoMolla, Md Rony y 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 completoHumbert, Pierre, Laurent Oudre, Nicolas Vayatis y 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 completoGhansah, Benjamin. "Convolutional Locality-Sensitive Dictionary Learning for Facial Expressions Detection". International Journal of Data Analytics 3, n.º 1 (enero de 2022): 1–28. http://dx.doi.org/10.4018/ijda.297520.
Texto completoPeng, Guan-Ju. "Adaptive ADMM for Dictionary Learning in Convolutional Sparse Representation". IEEE Transactions on Image Processing 28, n.º 7 (julio de 2019): 3408–22. http://dx.doi.org/10.1109/tip.2019.2896541.
Texto completoGarcia-Cardona, Cristina y Brendt Wohlberg. "Convolutional Dictionary Learning: A Comparative Review and New Algorithms". IEEE Transactions on Computational Imaging 4, n.º 3 (septiembre de 2018): 366–81. http://dx.doi.org/10.1109/tci.2018.2840334.
Texto completoMartin-del-Campo, Sergio, Fredrik Sandin y 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 enero de 2021): 660–75. http://dx.doi.org/10.1177/1748006x20984260.
Texto completoYin, Luqiao, Wenqing Gao y Jingjing Liu. "Deep Convolutional Dictionary Learning Denoising Method Based on Distributed Image Patches". Electronics 13, n.º 7 (28 de marzo de 2024): 1266. http://dx.doi.org/10.3390/electronics13071266.
Texto completoMURAMATSU, 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 octubre de 2023): 116–25. http://dx.doi.org/10.1587/essfr.17.2_116.
Texto completoLiu, Jialin, Cristina Garcia-Cardona, Brendt Wohlberg y Wotao Yin. "First- and Second-Order Methods for Online Convolutional Dictionary Learning". SIAM Journal on Imaging Sciences 11, n.º 2 (enero de 2018): 1589–628. http://dx.doi.org/10.1137/17m1145689.
Texto completoLi, Guang, Xianjie Gu, Zhengyong Ren, Qihong Wu, Xiaoqiong Liu, Liang Zhang, Donghan Xiao y 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 completoAlmadani, Murad, Umair bin Waheed, Mudassir Masood y Yangkang Chen. "Dictionary learning with convolutional structure for seismic data denoising and interpolation". GEOPHYSICS 86, n.º 5 (27 de julio de 2021): V361—V374. http://dx.doi.org/10.1190/geo2019-0689.1.
Texto completoWang, Junzhe, Brendt Wohlberg y R. B. A. Adamson. "Convolutional dictionary learning for blind deconvolution of optical coherence tomography images". Biomedical Optics Express 13, n.º 4 (3 de marzo de 2022): 1834. http://dx.doi.org/10.1364/boe.447394.
Texto completoPeng, 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 (febrero de 2020): 559–73. http://dx.doi.org/10.1109/tnnls.2019.2906074.
Texto completoZhou, Fengtao, Sheng Huang y 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 mayo de 2021): 3572–80. http://dx.doi.org/10.1609/aaai.v35i4.16472.
Texto completoWohlberg, Brendt y 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 completoGuo, 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 enero de 2024): 235–40. http://dx.doi.org/10.54097/1f3xnx82.
Texto completoTanuja, Nukapeyyi. "Medical Image Fusion Using Deep Learning Mechanism". International Journal for Research in Applied Science and Engineering Technology 10, n.º 1 (31 de enero de 2022): 128–36. http://dx.doi.org/10.22214/ijraset.2022.39809.
Texto completoWang, Xuchu, Fusheng Wang y Yanmin Niu. "A Convolutional Neural Network Combining Discriminative Dictionary Learning and Sequence Tracking for Left Ventricular Detection". Sensors 21, n.º 11 (26 de mayo de 2021): 3693. http://dx.doi.org/10.3390/s21113693.
Texto completoWang, Wenzheng, Yuqi Han, Chenwei Deng y Zhen Li. "Hyperspectral Image Classification via Deep Structure Dictionary Learning". Remote Sensing 14, n.º 9 (8 de mayo de 2022): 2266. http://dx.doi.org/10.3390/rs14092266.
Texto completoMushtaq, Zaid Bin, Shoaib Mohd Nasti, Chaman Verma, Maria Simona Raboca, Neerendra Kumar y Samiah Jan Nasti. "Super Resolution for Noisy Images Using Convolutional Neural Networks". Mathematics 10, n.º 5 (28 de febrero de 2022): 777. http://dx.doi.org/10.3390/math10050777.
Texto completoShao, Jie y Yibo Wang. "Simultaneous inversion of Q and reflectivity using dictionary learning". GEOPHYSICS 86, n.º 5 (1 de septiembre de 2021): R763—R776. http://dx.doi.org/10.1190/geo2020-0095.1.
Texto completoLiu, Fengshuang, Jiachen Ma y Qiang Wang. "Atom-substituted tensor dictionary learning enhanced convolutional neural network for hyperspectral image classification". Neurocomputing 455 (septiembre de 2021): 215–28. http://dx.doi.org/10.1016/j.neucom.2021.05.051.
Texto completoLi, Pengyu, Yali Zhang, Ze Li y 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 completoFarmonov, Nizom, Khilola Amankulova, Shahid Nawaz Khan, Mokhigul Abdurakhimova, József Szatmári, Tukhtaeva Khabiba, Radjabova Makhliyo, Meiliyeva Khodicha y 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 enero de 2024): 383–98. http://dx.doi.org/10.15201/hungeobull.72.4.4.
Texto completoHe, Liu, Cai Yi, Jianhui Lin y 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 noviembre de 2020): 1–27. http://dx.doi.org/10.1155/2020/8879732.
Texto completoJia, Bairu, Jindong Xu, Haihua Xing y 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 septiembre de 2022): 7339. http://dx.doi.org/10.3390/s22197339.
Texto completoJha, Dipendra, Saransh Singh, Reda Al-Bahrani, Wei-keng Liao, Alok Choudhary, Marc De Graef y Ankit Agrawal. "Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks". Microscopy and Microanalysis 24, n.º 5 (octubre de 2018): 497–502. http://dx.doi.org/10.1017/s1431927618015131.
Texto completoZhang, Xuesong, Baoping Li y 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 completoDonati, Giovanni, Michele Basso, Graziano A. Manduzio, Marco Mugnaini, Tommaso Pecorella y 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 completoÖztürk, 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 completoBen-Cohen, Avi, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Marianne Amitai y Hayit Greenspan. "Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations". Neurocomputing 275 (enero de 2018): 1585–94. http://dx.doi.org/10.1016/j.neucom.2017.10.001.
Texto completoKang, Yanqin, Jin Liu, Fan Wu, Kun Wang, Jun Qiang, Dianlin Hu y Yikun Zhang. "Deep convolutional dictionary learning network for sparse view CT reconstruction with a group sparse prior". Computer Methods and Programs in Biomedicine 244 (febrero de 2024): 108010. http://dx.doi.org/10.1016/j.cmpb.2024.108010.
Texto completoGuo, Quanyi. "Occluded Face Recognition based on Deep Learning". Frontiers in Computing and Intelligent Systems 5, n.º 2 (1 de septiembre de 2023): 120–23. http://dx.doi.org/10.54097/fcis.v5i2.13134.
Texto completoGu, Binjie, Weili Xiong y 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 completoDong, Qunxi, Jie Zhang, Qingyang Li, Junwen Wang, Natasha Leporé, Paul M. Thompson, Richard J. Caselli, Jieping Ye y 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 junio de 2020): 971–92. http://dx.doi.org/10.3233/jad-190973.
Texto completoXu, Mengchao, Qian Liu, Dexuan Sha, Manzhu Yu, Daniel Q. Duffy, William M. Putman, Mark Carroll, Tsengdar Lee y Chaowei Yang. "PreciPatch: A Dictionary-based Precipitation Downscaling Method". Remote Sensing 12, n.º 6 (23 de marzo de 2020): 1030. http://dx.doi.org/10.3390/rs12061030.
Texto completoMłynarski, Wiktor y Josh H. McDermott. "Learning Midlevel Auditory Codes from Natural Sound Statistics". Neural Computation 30, n.º 3 (marzo de 2018): 631–69. http://dx.doi.org/10.1162/neco_a_01048.
Texto completoWang, Pengxin, Liuyang Song, Yansong Hao, Huaqing Wang, Shi Li y Lingli Cui. "A light intelligent diagnosis model based on improved Online Dictionary Learning sample-making and simplified convolutional neural network". Measurement 183 (octubre de 2021): 109813. http://dx.doi.org/10.1016/j.measurement.2021.109813.
Texto completoNguyen, Franck, Selim M. Barhli, Daniel Pino Muñoz y David Ryckelynck. "Computer Vision with Error Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests". Complexity 2018 (2 de diciembre de 2018): 1–10. http://dx.doi.org/10.1155/2018/3791543.
Texto completoZhou, Qing, Zuren Feng y Emmanouil Benetos. "Adaptive Noise Reduction for Sound Event Detection Using Subband-Weighted NMF". Sensors 19, n.º 14 (20 de julio de 2019): 3206. http://dx.doi.org/10.3390/s19143206.
Texto completoHong, Jia-Sheng, Ingo Hermann, Frank Gerrit Zöllner, Lothar R. Schad, Shuu-Jiun Wang, Wei-Kai Lee, Yung-Lin Chen, Yu Chang y 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 febrero de 2022): 1260. http://dx.doi.org/10.3390/s22031260.
Texto completoLi, Chen y Fanfan Li. "Emotion recognition of social media users based on deep learning". PeerJ Computer Science 9 (14 de junio de 2023): e1414. http://dx.doi.org/10.7717/peerj-cs.1414.
Texto completo