Artículos de revistas sobre el tema "Deep Unsupervised Learning"
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Zhao, Tingting, Zifeng Wang, Aria Masoomi y Jennifer Dy. "Deep Bayesian Unsupervised Lifelong Learning". Neural Networks 149 (mayo de 2022): 95–106. http://dx.doi.org/10.1016/j.neunet.2022.02.001.
Texto completoBanzi, Jamal, Isack Bulugu y Zhongfu Ye. "Deep Predictive Neural Network: Unsupervised Learning for Hand Pose Estimation". International Journal of Machine Learning and Computing 9, n.º 4 (agosto de 2019): 432–39. http://dx.doi.org/10.18178/ijmlc.2019.9.4.822.
Texto completoFong, A. C. M. y G. Hong. "Boosted Supervised Intensional Learning Supported by Unsupervised Learning". International Journal of Machine Learning and Computing 11, n.º 2 (marzo de 2021): 98–102. http://dx.doi.org/10.18178/ijmlc.2021.11.2.1020.
Texto completoHuang, Jiabo, Qi Dong, Shaogang Gong y Xiatian Zhu. "Unsupervised Deep Learning via Affinity Diffusion". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 11029–36. http://dx.doi.org/10.1609/aaai.v34i07.6757.
Texto completoSanakoyeu, Artsiom, Miguel A. Bautista y Björn Ommer. "Deep unsupervised learning of visual similarities". Pattern Recognition 78 (junio de 2018): 331–43. http://dx.doi.org/10.1016/j.patcog.2018.01.036.
Texto completoYousefi-Azar, Mahmood y Len Hamey. "Text summarization using unsupervised deep learning". Expert Systems with Applications 68 (febrero de 2017): 93–105. http://dx.doi.org/10.1016/j.eswa.2016.10.017.
Texto completoLiu, Dong, Chengjian Sun, Chenyang Yang y Lajos Hanzo. "Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning". IEEE Network 34, n.º 4 (julio de 2020): 270–77. http://dx.doi.org/10.1109/mnet.001.1900517.
Texto completoXuejun Zhang, Xuejun Zhang, Jiyang Gai Xuejun Zhang, Zhili Ma Jiyang Gai, Jinxiong Zhao Zhili Ma, Hongzhong Ma Jinxiong Zhao, Fucun He Hongzhong Ma y Tao Ju Fucun He. "Exploring Unsupervised Learning with Clustering and Deep Autoencoder to Detect DDoS Attack". 電腦學刊 33, n.º 4 (agosto de 2022): 029–44. http://dx.doi.org/10.53106/199115992022083304003.
Texto completoKim, Seonghyeon, Sunjin Jung, Kwanggyoon Seo, Roger Blanco i Ribera y Junyong Noh. "Deep Learning‐Based Unsupervised Human Facial Retargeting". Computer Graphics Forum 40, n.º 7 (octubre de 2021): 45–55. http://dx.doi.org/10.1111/cgf.14400.
Texto completoLi, Changsheng, Rongqing Li, Ye Yuan, Guoren Wang y Dong Xu. "Deep Unsupervised Active Learning via Matrix Sketching". IEEE Transactions on Image Processing 30 (2021): 9280–93. http://dx.doi.org/10.1109/tip.2021.3124317.
Texto completoGomes, Chamal, Zhuo Jin y Hailiang Yang. "Insurance fraud detection with unsupervised deep learning". Journal of Risk and Insurance 88, n.º 3 (26 de julio de 2021): 591–624. http://dx.doi.org/10.1111/jori.12359.
Texto completoLin, Kevin, Jiwen Lu, Chu-Song Chen, Jie Zhou y Ming-Ting Sun. "Unsupervised Deep Learning of Compact Binary Descriptors". IEEE Transactions on Pattern Analysis and Machine Intelligence 41, n.º 6 (1 de junio de 2019): 1501–14. http://dx.doi.org/10.1109/tpami.2018.2833865.
Texto completoChen, Changlu, Chaoxi Niu, Xia Zhan y Kun Zhan. "Generative approach to unsupervised deep local learning". Journal of Electronic Imaging 28, n.º 04 (10 de julio de 2019): 1. http://dx.doi.org/10.1117/1.jei.28.4.043005.
Texto completoZheng, Dihan, Chenglong Bao, Zuoqiang Shi, Haibin Ling y Kaisheng Ma. "Unsupervised Deep Learning Meets Chan-Vese Model". CSIAM Transactions on Applied Mathematics 3, n.º 4 (junio de 2022): 662–91. http://dx.doi.org/10.4208/csiam-am.so-2021-0049.
Texto completoCui, Jianan, Kuang Gong, Ning Guo, Chenxi Wu, Xiaxia Meng, Kyungsang Kim, Kun Zheng et al. "PET image denoising using unsupervised deep learning". European Journal of Nuclear Medicine and Molecular Imaging 46, n.º 13 (29 de agosto de 2019): 2780–89. http://dx.doi.org/10.1007/s00259-019-04468-4.
Texto completoBoccagna, Roberto, Maurizio Bottini, Massimo Petracca, Alessia Amelio y Guido Camata. "Unsupervised Deep Learning for Structural Health Monitoring". Big Data and Cognitive Computing 7, n.º 2 (17 de mayo de 2023): 99. http://dx.doi.org/10.3390/bdcc7020099.
Texto completoZheng, Huan, Tongyao Pang y Hui Ji. "Unsupervised Deep Video Denoising with Untrained Network". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 3 (26 de junio de 2023): 3651–59. http://dx.doi.org/10.1609/aaai.v37i3.25476.
Texto completoAjay, P., B. Nagaraj, R. Arun Kumar, Ruihang Huang y P. Ananthi. "Unsupervised Hyperspectral Microscopic Image Segmentation Using Deep Embedded Clustering Algorithm". Scanning 2022 (6 de junio de 2022): 1–9. http://dx.doi.org/10.1155/2022/1200860.
Texto completoXu, Mingle, Sook Yoon, Jaesu Lee y Dong Sun Park. "Unsupervised Transfer Learning for Plant Anomaly Recognition". Korean Institute of Smart Media 11, n.º 4 (31 de mayo de 2022): 30–37. http://dx.doi.org/10.30693/smj.2022.11.4.30.
Texto completoYang, Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu y Yuan Jiang. "Deep Robust Unsupervised Multi-Modal Network". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 5652–59. http://dx.doi.org/10.1609/aaai.v33i01.33015652.
Texto completoZhao, Xiaoli y Minping Jia. "A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery". Structural Health Monitoring 19, n.º 6 (9 de enero de 2020): 1745–63. http://dx.doi.org/10.1177/1475921719897317.
Texto completoLin, Yi-Nan, Tsang-Yen Hsieh, Cheng-Ying Yang, Victor RL Shen, Tony Tong-Ying Juang y Wen-Hao Chen. "Deep Petri nets of unsupervised and supervised learning". Measurement and Control 53, n.º 7-8 (9 de junio de 2020): 1267–77. http://dx.doi.org/10.1177/0020294020923375.
Texto completoAversa, Rossella, Piero Coronica, Cristiano De Nobili y Stefano Cozzini. "Deep Learning, Feature Learning, and Clustering Analysis for SEM Image Classification". Data Intelligence 2, n.º 4 (octubre de 2020): 513–28. http://dx.doi.org/10.1162/dint_a_00062.
Texto completoLiu, MengYang, MingJun Li y XiaoYang Zhang. "The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents". Computational Intelligence and Neuroscience 2022 (6 de junio de 2022): 1–10. http://dx.doi.org/10.1155/2022/5653942.
Texto completoLiu, MengYang, MingJun Li y XiaoYang Zhang. "The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents". Computational Intelligence and Neuroscience 2022 (6 de junio de 2022): 1–10. http://dx.doi.org/10.1155/2022/5653942.
Texto completoSadiq, Saad, Mei-Ling Shyu y Daniel J. Feaster. "Counterfactual Autoencoder for Unsupervised Semantic Learning". International Journal of Multimedia Data Engineering and Management 9, n.º 4 (octubre de 2018): 1–20. http://dx.doi.org/10.4018/ijmdem.2018100101.
Texto completoLiu, Qiang, Haidong Zhang, Yiming Xu y Li Wang. "Unsupervised Deep Learning-Based RGB-D Visual Odometry". Applied Sciences 10, n.º 16 (6 de agosto de 2020): 5426. http://dx.doi.org/10.3390/app10165426.
Texto completoTan, Lu, Ling Li, Wan-Quan Liu, Sen-Jian An y Kylie Munyard. "Unsupervised learning of multi-task deep variational model". Journal of Visual Communication and Image Representation 87 (agosto de 2022): 103588. http://dx.doi.org/10.1016/j.jvcir.2022.103588.
Texto completoDroby, Ahmad, Berat Kurar Barakat, Raid Saabni, Reem Alaasam, Boraq Madi y Jihad El-Sana. "Understanding Unsupervised Deep Learning for Text Line Segmentation". Applied Sciences 12, n.º 19 (22 de septiembre de 2022): 9528. http://dx.doi.org/10.3390/app12199528.
Texto completoA. Hosni Mahmoud, Hanan, Alaaeldin M. Hafez y Eatedal Alabdulkreem. "Language-Independent Text Tokenization Using Unsupervised Deep Learning". Intelligent Automation & Soft Computing 35, n.º 1 (2023): 321–34. http://dx.doi.org/10.32604/iasc.2023.026235.
Texto completoYamawaki, Kazuhiro, Yongqing Sun y Xian-Hua Han. "Blind Image Super Resolution Using Deep Unsupervised Learning". Electronics 10, n.º 21 (23 de octubre de 2021): 2591. http://dx.doi.org/10.3390/electronics10212591.
Texto completoKhaldi, Yacine, Amir Benzaoui, Abdeldjalil Ouahabi, Sebastien Jacques y Abdelmalik Taleb-Ahmed. "Ear Recognition Based on Deep Unsupervised Active Learning". IEEE Sensors Journal 21, n.º 18 (15 de septiembre de 2021): 20704–13. http://dx.doi.org/10.1109/jsen.2021.3100151.
Texto completoApostol, Ioana, Marius Preda, Constantin Nila y Ion Bica. "IoT Botnet Anomaly Detection Using Unsupervised Deep Learning". Electronics 10, n.º 16 (4 de agosto de 2021): 1876. http://dx.doi.org/10.3390/electronics10161876.
Texto completoPatil, Kaveri R. "Language/Dialect Recognition based on Unsupervised Deep Learning". International Journal for Research in Applied Science and Engineering Technology 7, n.º 6 (30 de junio de 2019): 2303–7. http://dx.doi.org/10.22214/ijraset.2019.6387.
Texto completoZhang, Qian y John H. L. Hansen. "Language/Dialect Recognition Based on Unsupervised Deep Learning". IEEE/ACM Transactions on Audio, Speech, and Language Processing 26, n.º 5 (mayo de 2018): 873–82. http://dx.doi.org/10.1109/taslp.2018.2797420.
Texto completoYang, Xi, Kaizhu Huang, Rui Zhang y John Y. Goulermas. "A Novel Deep Density Model for Unsupervised Learning". Cognitive Computation 11, n.º 6 (25 de junio de 2018): 778–88. http://dx.doi.org/10.1007/s12559-018-9566-9.
Texto completoKrittanawong, Chayakrit, Anusith Tunhasiriwet, HongJu Zhang, Zhen Wang, Mehmet Aydar y Takeshi Kitai. "Deep Learning With Unsupervised Feature in Echocardiographic Imaging". Journal of the American College of Cardiology 69, n.º 16 (abril de 2017): 2100–2101. http://dx.doi.org/10.1016/j.jacc.2016.12.047.
Texto completoShen, Yuming, Li Liu y Ling Shao. "Unsupervised Binary Representation Learning with Deep Variational Networks". International Journal of Computer Vision 127, n.º 11-12 (21 de febrero de 2019): 1614–28. http://dx.doi.org/10.1007/s11263-019-01166-4.
Texto completoSolomon, Enoch, Abraham Woubie y Krzysztof J. Cios. "UFace: An Unsupervised Deep Learning Face Verification System". Electronics 11, n.º 23 (26 de noviembre de 2022): 3909. http://dx.doi.org/10.3390/electronics11233909.
Texto completoKároly, Artúr István, Róbert Fullér y Péter Galambos. "Unsupervised Clustering for Deep Learning: A tutorial survey". Acta Polytechnica Hungarica 15, n.º 8 (2018): 29–53. http://dx.doi.org/10.12700/aph.15.8.2018.8.2.
Texto completoPrashant Krishnan, V., S. Rajarajeswari, Venkat Krishnamohan, Vivek Chandra Sheel y R. Deepak. "Music Generation Using Deep Learning Techniques". Journal of Computational and Theoretical Nanoscience 17, n.º 9 (1 de julio de 2020): 3983–87. http://dx.doi.org/10.1166/jctn.2020.9003.
Texto completoHu, Xiang, Teng Li, Tong Zhou, Yu Liu y Yuanxi Peng. "Contrastive Learning Based on Transformer for Hyperspectral Image Classification". Applied Sciences 11, n.º 18 (17 de septiembre de 2021): 8670. http://dx.doi.org/10.3390/app11188670.
Texto completoFerles, Christos, Yannis Papanikolaou, Stylianos P. Savaidis y Stelios A. Mitilineos. "Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data". Machine Learning and Knowledge Extraction 3, n.º 4 (14 de noviembre de 2021): 879–99. http://dx.doi.org/10.3390/make3040044.
Texto completoAli, Afan y Fan Yangyu. "Unsupervised feature learning and automatic modulation classification using deep learning model". Physical Communication 25 (diciembre de 2017): 75–84. http://dx.doi.org/10.1016/j.phycom.2017.09.004.
Texto completoKoohzadi, Maryam, Nasrollah Moghadam Charkari y Foad Ghaderi. "Unsupervised representation learning based on the deep multi-view ensemble learning". Applied Intelligence 50, n.º 2 (31 de julio de 2019): 562–81. http://dx.doi.org/10.1007/s10489-019-01526-0.
Texto completoHuang, Qiuyuan, Li Deng, Dapeng Wu, Chang Liu y Xiaodong He. "Attentive Tensor Product Learning". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 1344–51. http://dx.doi.org/10.1609/aaai.v33i01.33011344.
Texto completoLängkvist, Martin, Lars Karlsson y Amy Loutfi. "Sleep Stage Classification Using Unsupervised Feature Learning". Advances in Artificial Neural Systems 2012 (24 de julio de 2012): 1–9. http://dx.doi.org/10.1155/2012/107046.
Texto completoWang, Mou, Xiao-Lei Zhang y Susanto Rahardja. "An Unsupervised Deep Learning System for Acoustic Scene Analysis". Applied Sciences 10, n.º 6 (19 de marzo de 2020): 2076. http://dx.doi.org/10.3390/app10062076.
Texto completoLiu, Zhe, Yinqiang Zheng y Xian-Hua Han. "Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution". Sensors 21, n.º 7 (28 de marzo de 2021): 2348. http://dx.doi.org/10.3390/s21072348.
Texto completoBrattoli, Biagio, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl y Björn Ommer. "Unsupervised behaviour analysis and magnification (uBAM) using deep learning". Nature Machine Intelligence 3, n.º 6 (5 de abril de 2021): 495–506. http://dx.doi.org/10.1038/s42256-021-00326-x.
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