Статті в журналах з теми "Maximum Mean Discrepancy (MMD)"
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Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Maximum Mean Discrepancy (MMD)".
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Huang, Qihang, Yulin He, and Zhexue Huang. "A Novel Maximum Mean Discrepancy-Based Semi-Supervised Learning Algorithm." Mathematics 10, no. 1 (December 23, 2021): 39. http://dx.doi.org/10.3390/math10010039.
Повний текст джерелаZhou, Zhaokun, Yuanhong Zhong, Xiaoming Liu, Qiang Li, and Shu Han. "DC-MMD-GAN: A New Maximum Mean Discrepancy Generative Adversarial Network Using Divide and Conquer." Applied Sciences 10, no. 18 (September 14, 2020): 6405. http://dx.doi.org/10.3390/app10186405.
Повний текст джерелаXu, Haoji. "Generate Faces Using Ladder Variational Autoencoder with Maximum Mean Discrepancy (MMD)." Intelligent Information Management 10, no. 04 (2018): 108–13. http://dx.doi.org/10.4236/iim.2018.104009.
Повний текст джерелаSun, Jiancheng. "Complex Network Construction of Univariate Chaotic Time Series Based on Maximum Mean Discrepancy." Entropy 22, no. 2 (January 24, 2020): 142. http://dx.doi.org/10.3390/e22020142.
Повний текст джерелаZhang, Xiangqing, Yan Feng, Shun Zhang, Nan Wang, Shaohui Mei, and Mingyi He. "Semi-Supervised Person Detection in Aerial Images with Instance Segmentation and Maximum Mean Discrepancy Distance." Remote Sensing 15, no. 11 (June 4, 2023): 2928. http://dx.doi.org/10.3390/rs15112928.
Повний текст джерелаZhao, Ji, and Deyu Meng. "FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test." Neural Computation 27, no. 6 (June 2015): 1345–72. http://dx.doi.org/10.1162/neco_a_00732.
Повний текст джерелаWilliamson, Sinead A., and Jette Henderson. "Understanding Collections of Related Datasets Using Dependent MMD Coresets." Information 12, no. 10 (September 23, 2021): 392. http://dx.doi.org/10.3390/info12100392.
Повний текст джерелаLi, Kangji, Borui Wei, Qianqian Tang, and Yufei Liu. "A Data-Efficient Building Electricity Load Forecasting Method Based on Maximum Mean Discrepancy and Improved TrAdaBoost Algorithm." Energies 15, no. 23 (November 22, 2022): 8780. http://dx.doi.org/10.3390/en15238780.
Повний текст джерелаLee, Junghyun, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, and Chang D. Yoo. "Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (June 28, 2022): 7363–71. http://dx.doi.org/10.1609/aaai.v36i7.20699.
Повний текст джерелаHan, Chao, Deyun Zhou, Zhen Yang, Yu Xie, and Kai Zhang. "Discriminative Sparse Filtering for Multi-Source Image Classification." Sensors 20, no. 20 (October 16, 2020): 5868. http://dx.doi.org/10.3390/s20205868.
Повний текст джерелаSong, Mengmeng, Zexiong Zhang, Shungen Xiao, Zicheng Xiong, and Mengwei Li. "Bearing fault diagnosis method using a spatio-temporal neural network based on feature transfer learning." Measurement Science and Technology 34, no. 1 (October 25, 2022): 015119. http://dx.doi.org/10.1088/1361-6501/ac9078.
Повний текст джерелаWang, Jinrui, Shanshan Ji, Baokun Han, Huaiqian Bao, and Xingxing Jiang. "Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions." Complexity 2020 (July 23, 2020): 1–11. http://dx.doi.org/10.1155/2020/6946702.
Повний текст джерелаWang, Haoyu, Yuhu Cheng, and Xuesong Wang. "A Novel Hyperspectral Image Classification Method Using Class-Weighted Domain Adaptation Network." Remote Sensing 15, no. 4 (February 10, 2023): 999. http://dx.doi.org/10.3390/rs15040999.
Повний текст джерелаLiu, Yi, Hang Xiang, Zhansi Jiang, and Jiawei Xiang. "A Domain Adaption ResNet Model to Detect Faults in Roller Bearings Using Vibro-Acoustic Data." Sensors 23, no. 6 (March 13, 2023): 3068. http://dx.doi.org/10.3390/s23063068.
Повний текст джерелаXiao, Li, Qi Chen, Shuping Hou, Zhi Yan, and Yiming Tian. "Detection of an Incipient Fault for Dual Three-Phase PMSMs Using a Modified Autoencoder." Electronics 11, no. 22 (November 15, 2022): 3741. http://dx.doi.org/10.3390/electronics11223741.
Повний текст джерелаFutami, Futoshi, Zhenghang Cui, Issei Sato, and Masashi Sugiyama. "Bayesian Posterior Approximation via Greedy Particle Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3606–13. http://dx.doi.org/10.1609/aaai.v33i01.33013606.
Повний текст джерелаDu, Yuntao, Ruiting Zhang, Xiaowen Zhang, Yirong Yao, Hengyang Lu, and Chongjun Wang. "Learning transferable and discriminative features for unsupervised domain adaptation." Intelligent Data Analysis 26, no. 2 (March 14, 2022): 407–25. http://dx.doi.org/10.3233/ida-215813.
Повний текст джерелаWang, Z., T. Li, L. Pan, and Z. Kang. "SCENE SEMANTIC SEGMENTATION FROM INDOOR RGB-D IMAGES USING ENCODE-DECODER FULLY CONVOLUTIONAL NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 397–404. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-397-2017.
Повний текст джерелаCheng, Xiuyuan, Alexander Cloninger, and Ronald R. Coifman. "Two-sample statistics based on anisotropic kernels." Information and Inference: A Journal of the IMA 9, no. 3 (December 10, 2019): 677–719. http://dx.doi.org/10.1093/imaiai/iaz018.
Повний текст джерелаChen, Chao, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, and Xian-sheng Hua. "HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3422–29. http://dx.doi.org/10.1609/aaai.v34i04.5745.
Повний текст джерелаLiu, Jian, and Liming Feng. "Diversity Evolutionary Policy Deep Reinforcement Learning." Computational Intelligence and Neuroscience 2021 (August 3, 2021): 1–11. http://dx.doi.org/10.1155/2021/5300189.
Повний текст джерелаTahmoresnezhad, Jafar, and Sattar Hashemi. "An Efficient yet Effective Random Partitioning and Feature Weighting Approach for Transfer Learning." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 02 (February 2016): 1651003. http://dx.doi.org/10.1142/s0218001416510034.
Повний текст джерелаTay, Sebastian Shenghong, Xinyi Xu, Chuan Sheng Foo, and Bryan Kian Hsiang Low. "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (June 28, 2022): 9448–56. http://dx.doi.org/10.1609/aaai.v36i9.21177.
Повний текст джерелаZhang, Quanling, Ningze Tang, Xing Fu, Hao Peng, Cuimei Bo, and Cunsong Wang. "A Multi-Scale Attention Mechanism Based Domain Adversarial Neural Network Strategy for Bearing Fault Diagnosis." Actuators 12, no. 5 (April 27, 2023): 188. http://dx.doi.org/10.3390/act12050188.
Повний текст джерелаXu, Kun, Shunming Li, Ranran Li, Jiantao Lu, Xianglian Li, and Mengjie Zeng. "Domain Adaptation Network with Double Adversarial Mechanism for Intelligent Fault Diagnosis." Applied Sciences 11, no. 17 (August 28, 2021): 7983. http://dx.doi.org/10.3390/app11177983.
Повний текст джерелаWang, Li, Guoqiang Liu, Chao Zhang, Yu Yang, and Jinhao Qiu. "FEM Simulation-Based Adversarial Domain Adaptation for Fatigue Crack Detection Using Lamb Wave." Sensors 23, no. 4 (February 9, 2023): 1943. http://dx.doi.org/10.3390/s23041943.
Повний текст джерелаYang, Bingru, Qi Li, Liang Chen, Changqing Shen, and Sundararajan Natarajan. "Bearing Fault Diagnosis Based on Multilayer Domain Adaptation." Shock and Vibration 2020 (September 29, 2020): 1–11. http://dx.doi.org/10.1155/2020/8873960.
Повний текст джерелаBanerjee, Subhankar, and Shayok Chakraborty. "Deterministic Mini-batch Sequencing for Training Deep Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (May 18, 2021): 6723–31. http://dx.doi.org/10.1609/aaai.v35i8.16831.
Повний текст джерелаTian, Jinghui, Dongying Han, Lifeng Xiao, and Peiming Shi. "Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 2225–38. http://dx.doi.org/10.3233/jifs-210932.
Повний текст джерелаZang, Shaofei, Xinghai Li, Jianwei Ma, Yongyi Yan, Jiwei Gao, and Yuan Wei. "TSTELM: Two-Stage Transfer Extreme Learning Machine for Unsupervised Domain Adaptation." Computational Intelligence and Neuroscience 2022 (July 18, 2022): 1–18. http://dx.doi.org/10.1155/2022/1582624.
Повний текст джерелаSun, Wei, Jie Zhou, Bintao Sun, Yuqing Zhou, and Yongying Jiang. "Markov Transition Field Enhanced Deep Domain Adaptation Network for Milling Tool Condition Monitoring." Micromachines 13, no. 6 (May 31, 2022): 873. http://dx.doi.org/10.3390/mi13060873.
Повний текст джерелаDing, Renjie, Xue Li, Lanshun Nie, Jiazhen Li, Xiandong Si, Dianhui Chu, Guozhong Liu, and Dechen Zhan. "Empirical Study and Improvement on Deep Transfer Learning for Human Activity Recognition." Sensors 19, no. 1 (December 24, 2018): 57. http://dx.doi.org/10.3390/s19010057.
Повний текст джерелаWang, Kai, Wei Zhao, Aidong Xu, Peng Zeng, and Shunkun Yang. "One-Dimensional Multi-Scale Domain Adaptive Network for Bearing-Fault Diagnosis under Varying Working Conditions." Sensors 20, no. 21 (October 23, 2020): 6039. http://dx.doi.org/10.3390/s20216039.
Повний текст джерелаPark, Hyo-Seok, Seong-Joong Kim, Andrew L. Stewart, Seok-Woo Son, and Kyong-Hwan Seo. "Mid-Holocene Northern Hemisphere warming driven by Arctic amplification." Science Advances 5, no. 12 (December 2019): eaax8203. http://dx.doi.org/10.1126/sciadv.aax8203.
Повний текст джерелаSun, Han, Xinyi Chen, Ling Wang, Dong Liang, Ningzhong Liu, and Huiyu Zhou. "C2DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation." Sensors 20, no. 12 (June 26, 2020): 3606. http://dx.doi.org/10.3390/s20123606.
Повний текст джерелаZhang, Yongchao, Zhaohui Ren, and Shihua Zhou. "A New Deep Convolutional Domain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions." Shock and Vibration 2020 (July 24, 2020): 1–14. http://dx.doi.org/10.1155/2020/8850976.
Повний текст джерелаZhang, Jun, Wen Yao, Xiaoqian Chen, and Ling Feng. "Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 13940–48. http://dx.doi.org/10.1609/aaai.v37i11.26632.
Повний текст джерелаPaul, A., K. Vogt, F. Rottensteiner, J. Ostermann, and C. Heipke. "A COMPARISON OF TWO STRATEGIES FOR AVOIDING NEGATIVE TRANSFER IN DOMAIN ADAPTATION BASED ON LOGISTIC REGRESSION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 845–52. http://dx.doi.org/10.5194/isprs-archives-xlii-2-845-2018.
Повний текст джерелаLi, Zhaokui, Xiangyi Tang, Wei Li, Chuanyun Wang, Cuiwei Liu, and Jinrong He. "A Two-stage Deep Domain Adaptation Method for Hyperspectral Image Classification." Remote Sensing 12, no. 7 (March 25, 2020): 1054. http://dx.doi.org/10.3390/rs12071054.
Повний текст джерелаChen, Zhihong, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Feiyue Huang, and Xinyu Jin. "Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (May 18, 2021): 1132–39. http://dx.doi.org/10.1609/aaai.v35i2.16199.
Повний текст джерелаNguyen-Tang, Thanh, Sunil Gupta, and Svetha Venkatesh. "Distributional Reinforcement Learning via Moment Matching." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 10 (May 18, 2021): 9144–52. http://dx.doi.org/10.1609/aaai.v35i10.17104.
Повний текст джерелаZhang, Qiyang, Zhibin Zhao, Xingwu Zhang, Yilong Liu, Xiaolei Yu, and Xuefeng Chen. "Short-time consistent domain adaptation for rolling bearing fault diagnosis under varying working conditions." Measurement Science and Technology 33, no. 7 (April 6, 2022): 075105. http://dx.doi.org/10.1088/1361-6501/ac5874.
Повний текст джерелаHussein, Amir, and Hazem Hajj. "Domain Adaptation with Representation Learning and Nonlinear Relation for Time Series." ACM Transactions on Internet of Things 3, no. 2 (May 31, 2022): 1–26. http://dx.doi.org/10.1145/3502905.
Повний текст джерелаHe, Yiwei, Yingjie Tian, Jingjing Tang, and Yue Ma. "Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization." Complexity 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/8425821.
Повний текст джерелаZhu, Qiuyu, Liheng Hu, and Rui Wang. "Image Clustering Algorithm Based on Predefined Evenly-Distributed Class Centroids and Composite Cosine Distance." Entropy 24, no. 11 (October 26, 2022): 1533. http://dx.doi.org/10.3390/e24111533.
Повний текст джерелаYe, Fei, and Adrian G. Bors. "Lifelong Compression Mixture Model via Knowledge Relationship Graph." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (June 26, 2023): 10900–10908. http://dx.doi.org/10.1609/aaai.v37i9.26292.
Повний текст джерелаZhang, Yizong, Shaobo Li, Qiuchen He, Ansi Zhang, Chuanjiang Li, and Zihao Liao. "An Intelligent Fault Detection Framework for FW-UAV Based on Hybrid Deep Domain Adaptation Networks and the Hampel Filter." International Journal of Intelligent Systems 2023 (June 7, 2023): 1–19. http://dx.doi.org/10.1155/2023/6608967.
Повний текст джерелаLi, Xianling, Kai Zhang, Weijun Li, Yi Feng, and Ruonan Liu. "A Two-Stage Transfer Regression Convolutional Neural Network for Bearing Remaining Useful Life Prediction." Machines 10, no. 5 (May 12, 2022): 369. http://dx.doi.org/10.3390/machines10050369.
Повний текст джерелаTong, Zhe, Wei Li, Bo Zhang, and Meng Zhang. "Bearing Fault Diagnosis Based on Domain Adaptation Using Transferable Features under Different Working Conditions." Shock and Vibration 2018 (June 28, 2018): 1–12. http://dx.doi.org/10.1155/2018/6714520.
Повний текст джерелаAyalew, Melese, Shijie Zhou, Imran Memon, Md Belal Bin Heyat, Faijan Akhtar, and Xiaojuan Zhang. "View-Invariant Spatiotemporal Attentive Motion Planning and Control Network for Autonomous Vehicles." Machines 10, no. 12 (December 9, 2022): 1193. http://dx.doi.org/10.3390/machines10121193.
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