Статті в журналах з теми "Feature Adaptation"
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O'Brien, Michael J., and Thomas D. Holland. "The Role of Adaptation in Archaeological Explanation." American Antiquity 57, no. 1 (January 1992): 36–59. http://dx.doi.org/10.2307/2694834.
Повний текст джерелаCui, Pengcheng, Yongqian Zheng, Peimin Xu, Bin Li, Mingsheng Ma, and Guiyu Zhou. "The comparison of adjoint-based grid adaptation and feature-based grid adaptation method." Journal of Physics: Conference Series 2280, no. 1 (June 1, 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2280/1/012003.
Повний текст джерелаQin, Ning, and Xueqiang Liu. "Flow feature aligned grid adaptation." International Journal for Numerical Methods in Engineering 67, no. 6 (2006): 787–814. http://dx.doi.org/10.1002/nme.1648.
Повний текст джерелаChen, Cheng, Qi Dou, Hao Chen, Jing Qin, and Pheng-Ann Heng. "Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 865–72. http://dx.doi.org/10.1609/aaai.v33i01.3301865.
Повний текст джерелаLi, Shuang, Chi Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, and Jian Tang. "Domain Conditioned Adaptation Network." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11386–93. http://dx.doi.org/10.1609/aaai.v34i07.6801.
Повний текст джерелаChen, Qingchao, and Yang Liu. "Structure-Aware Feature Fusion for Unsupervised Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 10567–74. http://dx.doi.org/10.1609/aaai.v34i07.6629.
Повний текст джерелаSun, Feng, Hanrui Wu, Zhihang Luo, Wenwen Gu, Yuguang Yan, and Qing Du. "Informative Feature Selection for Domain Adaptation." IEEE Access 7 (2019): 142551–63. http://dx.doi.org/10.1109/access.2019.2944226.
Повний текст джерелаLi, Jingyao, Zhanshan Li, and Shuai Lü. "Feature concatenation for adversarial domain adaptation." Expert Systems with Applications 169 (May 2021): 114490. http://dx.doi.org/10.1016/j.eswa.2020.114490.
Повний текст джерелаWen, Jun, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, and Junsong Yuan. "Exploiting Local Feature Patterns for Unsupervised Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5401–8. http://dx.doi.org/10.1609/aaai.v33i01.33015401.
Повний текст джерелаStephens, John, and Sung-Ae Lee. "Transcultural Adaptation of Feature Films: South Korea’s My Sassy Girl and its Remakes." Adaptation 11, no. 1 (February 9, 2018): 75–95. http://dx.doi.org/10.1093/adaptation/apy001.
Повний текст джерелаZhang, Zeqing, Zuodong Gao, Xiaofan Li, Cuihua Lee, and Weiwei Lin. "Information Separation Network for Domain Adaptation Learning." Electronics 11, no. 8 (April 15, 2022): 1254. http://dx.doi.org/10.3390/electronics11081254.
Повний текст джерелаGardner, Andy. "The purpose of adaptation." Interface Focus 7, no. 5 (August 18, 2017): 20170005. http://dx.doi.org/10.1098/rsfs.2017.0005.
Повний текст джерелаWang, Wei, Hao Wang, Zhi-Yong Ran, and Ran He. "Learning Robust Feature Transformation for Domain Adaptation." Pattern Recognition 114 (June 2021): 107870. http://dx.doi.org/10.1016/j.patcog.2021.107870.
Повний текст джерелаJung, Ho-Young Jung, Mansoo Park Park, Hoi-Rin Kim Kim, and Minsoo Hahn Hahn. "Speaker Adaptation Using ICA-Based Feature Transformation." ETRI Journal 24, no. 6 (December 1, 2002): 469–72. http://dx.doi.org/10.4218/etrij.02.0202.0003.
Повний текст джерелаAkçay, Çağlar, and Eliot Hazeltine. "Domain-specific conflict adaptation without feature repetitions." Psychonomic Bulletin & Review 18, no. 3 (March 15, 2011): 505–11. http://dx.doi.org/10.3758/s13423-011-0084-y.
Повний текст джерелаWen, Jun, Junsong Yuan, Qian Zheng, Risheng Liu, Zhefeng Gong, and Nenggan Zheng. "Hierarchical domain adaptation with local feature patterns." Pattern Recognition 124 (April 2022): 108445. http://dx.doi.org/10.1016/j.patcog.2021.108445.
Повний текст джерелаJIANG, Chengming, Changyong JIAO, Huahua DONG, Wuheng ZUO, Lian XU, and Fengpei HU. "Cross-category Face Adaptation of Feature Association." Acta Psychologica Sinica 46, no. 8 (2014): 1072. http://dx.doi.org/10.3724/sp.j.1041.2014.01072.
Повний текст джерелаLee, Hyeopwoo, and Dongsuk Yook. "Feature adaptation for robust mobile speech recognition." IEEE Transactions on Consumer Electronics 58, no. 4 (November 2012): 1393–98. http://dx.doi.org/10.1109/tce.2012.6415011.
Повний текст джерелаPrabuchandran, K. J., Shalabh Bhatnagar, and Vivek S. Borkar. "Actor-Critic Algorithms with Online Feature Adaptation." ACM Transactions on Modeling and Computer Simulation 26, no. 4 (May 2, 2016): 1–26. http://dx.doi.org/10.1145/2868723.
Повний текст джерелаTahmoresnezhad, Jafar, and Sattar Hashemi. "Visual domain adaptation via transfer feature learning." Knowledge and Information Systems 50, no. 2 (May 7, 2016): 585–605. http://dx.doi.org/10.1007/s10115-016-0944-x.
Повний текст джерелаWu, Lan, Chongyang Li, Qiliang Chen, and Binquan Li. "Deep adversarial domain adaptation network." International Journal of Advanced Robotic Systems 17, no. 5 (September 1, 2020): 172988142096464. http://dx.doi.org/10.1177/1729881420964648.
Повний текст джерелаChen, Minghao, Shuai Zhao, Haifeng Liu, and Deng Cai. "Adversarial-Learned Loss for Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3521–28. http://dx.doi.org/10.1609/aaai.v34i04.5757.
Повний текст джерелаFu, Hongliang, Zhihao Zhuang, Yang Wang, Chen Huang, and Wenzhuo Duan. "Cross-Corpus Speech Emotion Recognition Based on Multi-Task Learning and Subdomain Adaptation." Entropy 25, no. 1 (January 7, 2023): 124. http://dx.doi.org/10.3390/e25010124.
Повний текст джерелаXiao, Ting, Cangning Fan, Peng Liu, and Hongwei Liu. "Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation." Entropy 24, no. 1 (December 27, 2021): 44. http://dx.doi.org/10.3390/e24010044.
Повний текст джерелаChen, Chao, Zhihong Chen, Boyuan Jiang, and Xinyu Jin. "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3296–303. http://dx.doi.org/10.1609/aaai.v33i01.33013296.
Повний текст джерелаLee, Seongmin, Hyunsik Jeon, and U. Kang. "Multi-EPL: Accurate multi-source domain adaptation." PLOS ONE 16, no. 8 (August 5, 2021): e0255754. http://dx.doi.org/10.1371/journal.pone.0255754.
Повний текст джерелаGao, Yuan, Peipeng Chen, Yue Gao, Jinpeng Wang, YoungSun Pan, and Andy J. Ma. "Hierarchical feature disentangling network for universal domain adaptation." Pattern Recognition 127 (July 2022): 108616. http://dx.doi.org/10.1016/j.patcog.2022.108616.
Повний текст джерелаRakshit, Sayan, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, and Subhasis Chaudhuri. "FRIDA — Generative feature replay for incremental domain adaptation." Computer Vision and Image Understanding 217 (March 2022): 103367. http://dx.doi.org/10.1016/j.cviu.2022.103367.
Повний текст джерелаZhao, Peng, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang, and Zenglin Xu. "Domain adaptation with feature and label adversarial networks." Neurocomputing 439 (June 2021): 294–301. http://dx.doi.org/10.1016/j.neucom.2021.01.062.
Повний текст джерелаZhang, Tianliang, Zhenjun Han, Huijuan Xu, Baochang Zhang, and Qixiang Ye. "CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection." IEEE Transactions on Intelligent Transportation Systems 21, no. 11 (November 2020): 4593–604. http://dx.doi.org/10.1109/tits.2019.2942045.
Повний текст джерелаWang, Meng, and Jiawei Fu. "A Triple Adversary Network Driven by Hybrid High-Order Attention for Domain Adaptation." Electronics 9, no. 12 (December 11, 2020): 2121. http://dx.doi.org/10.3390/electronics9122121.
Повний текст джерелаLi, Xudong, Jianhua Zheng, Mingtao Li, Wenzhen Ma, and Yang Hu. "Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis." Sensors 21, no. 2 (January 10, 2021): 450. http://dx.doi.org/10.3390/s21020450.
Повний текст джерелаLi, Xudong, Jianhua Zheng, Mingtao Li, Wenzhen Ma, and Yang Hu. "Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis." Sensors 21, no. 2 (January 10, 2021): 450. http://dx.doi.org/10.3390/s21020450.
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 джерелаZheng, Xiaorong, Zhaojian Gu, Caiming Liu, Jiahao Jiang, Zhiwei He, and Mingyu Gao. "Deep Transfer Network with Multi-Space Dynamic Distribution Adaptation for Bearing Fault Diagnosis." Entropy 24, no. 8 (August 15, 2022): 1122. http://dx.doi.org/10.3390/e24081122.
Повний текст джерелаTao, Hui, Jun He, Quanjie Cao, and Lei Zhang. "Adversarial Hard Attention Adaptation." Information 11, no. 4 (April 18, 2020): 224. http://dx.doi.org/10.3390/info11040224.
Повний текст джерелаYang, Jihan, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, and Liang Lin. "An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 12613–20. http://dx.doi.org/10.1609/aaai.v34i07.6952.
Повний текст джерелаKumagai, Atsutoshi, and Tomoharu Iwata. "Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4106–13. http://dx.doi.org/10.1609/aaai.v33i01.33014106.
Повний текст джерелаRashedi, Esmat, Hossein Nezamabadi-pour, and Saeid Saryazdi. "A simultaneous feature adaptation and feature selection method for content-based image retrieval systems." Knowledge-Based Systems 39 (February 2013): 85–94. http://dx.doi.org/10.1016/j.knosys.2012.10.011.
Повний текст джерелаNiu, Chang, Junyuan Shang, Zhiheng Zhou, Junchu Huang, Tianlei Wang, and Xiangwei Li. "Common‐specific feature learning for multi‐source domain adaptation." IET Image Processing 14, no. 16 (December 2020): 4049–58. http://dx.doi.org/10.1049/iet-ipr.2019.1712.
Повний текст джерелаZhang, Kuangen, Jiahong Chen, Jing Wang, Yuquan Leng, Clarence W. de Silva, and Chenglong Fu. "Gaussian-guided feature alignment for unsupervised cross-subject adaptation." Pattern Recognition 122 (February 2022): 108332. http://dx.doi.org/10.1016/j.patcog.2021.108332.
Повний текст джерелаOuareth, Selma, Boulehouache Soufiane, and Mazouzi Smaine. "Self-Adaptation Through Reinforcement Learning Using a Feature Model." International Journal of Organizational and Collective Intelligence 12, no. 4 (October 1, 2022): 1–20. http://dx.doi.org/10.4018/ijoci.312226.
Повний текст джерелаNguyen, Hien V., Huy Tho Ho, Vishal M. Patel, and Rama Chellappa. "DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning." IEEE Transactions on Image Processing 24, no. 12 (December 2015): 5479–91. http://dx.doi.org/10.1109/tip.2015.2479405.
Повний текст джерелаStern, R., and M. Lasry. "Dynamic speaker adaptation for feature-based isolated word recognition." IEEE Transactions on Acoustics, Speech, and Signal Processing 35, no. 6 (June 1987): 751–63. http://dx.doi.org/10.1109/tassp.1987.1165203.
Повний текст джерелаFang, Wen-Chieh, and Yi-Ting Chiang. "A discriminative feature mapping approach to heterogeneous domain adaptation." Pattern Recognition Letters 106 (April 2018): 13–19. http://dx.doi.org/10.1016/j.patrec.2018.02.011.
Повний текст джерелаTabebordbar, Alireza, Amin Beheshti, Boualem Benatallah, and Moshe Chai Barukh. "Feature-Based and Adaptive Rule Adaptation in Dynamic Environments." Data Science and Engineering 5, no. 3 (June 25, 2020): 207–23. http://dx.doi.org/10.1007/s41019-020-00130-4.
Повний текст джерелаKallinderis, Yannis, Eleni M. Lymperopoulou, and Panagiotis Antonellis. "Flow feature detection for grid adaptation and flow visualization." Journal of Computational Physics 341 (July 2017): 182–207. http://dx.doi.org/10.1016/j.jcp.2017.04.001.
Повний текст джерелаHoffman, Judy, Erik Rodner, Jeff Donahue, Brian Kulis, and Kate Saenko. "Asymmetric and Category Invariant Feature Transformations for Domain Adaptation." International Journal of Computer Vision 109, no. 1-2 (April 13, 2014): 28–41. http://dx.doi.org/10.1007/s11263-014-0719-3.
Повний текст джерелаMa, Chenhui, Dexuan Sha, and Xiaodong Mu. "Unsupervised Adversarial Domain Adaptation with Error-Correcting Boundaries and Feature Adaption Metric for Remote-Sensing Scene Classification." Remote Sensing 13, no. 7 (March 26, 2021): 1270. http://dx.doi.org/10.3390/rs13071270.
Повний текст джерелаLi, Ping, Zhiwei Ni, Xuhui Zhu, Juan Song, and Wenying Wu. "Optimal Transport with Dimensionality Reduction for Domain Adaptation." Symmetry 12, no. 12 (December 3, 2020): 1994. http://dx.doi.org/10.3390/sym12121994.
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