Статті в журналах з теми "Cross-view Learning"
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Nie, Weizhi, Anan Liu, Wenhui Li, and Yuting Su. "Cross-view action recognition by cross-domain learning." Image and Vision Computing 55 (November 2016): 109–18. http://dx.doi.org/10.1016/j.imavis.2016.04.011.
Повний текст джерелаWang, Xiuhui, and Wei Qi Yan. "Cross-view gait recognition through ensemble learning." Neural Computing and Applications 32, no. 11 (May 16, 2019): 7275–87. http://dx.doi.org/10.1007/s00521-019-04256-z.
Повний текст джерелаZhang, Chengkun, Huicheng Zheng, and Jianhuang Lai. "Cross-View Action Recognition Based on Hierarchical View-Shared Dictionary Learning." IEEE Access 6 (2018): 16855–68. http://dx.doi.org/10.1109/access.2018.2815611.
Повний текст джерелаZhang, Yuqi, Yongzhen Huang, Shiqi Yu, and Liang Wang. "Cross-View Gait Recognition by Discriminative Feature Learning." IEEE Transactions on Image Processing 29 (2020): 1001–15. http://dx.doi.org/10.1109/tip.2019.2926208.
Повний текст джерелаZheng, Jingjing, Zhuolin Jiang, and Rama Chellappa. "Cross-View Action Recognition via Transferable Dictionary Learning." IEEE Transactions on Image Processing 25, no. 6 (June 2016): 2542–56. http://dx.doi.org/10.1109/tip.2016.2548242.
Повний текст джерелаZALL, R., and M. R. KEYVANPOUR. "Semi-Supervised Multi-View Ensemble Learning Based On Extracting Cross-View Correlation." Advances in Electrical and Computer Engineering 16, no. 2 (2016): 111–24. http://dx.doi.org/10.4316/aece.2016.02015.
Повний текст джерелаDing, Zhengming, and Yun Fu. "Dual Low-Rank Decompositions for Robust Cross-View Learning." IEEE Transactions on Image Processing 28, no. 1 (January 2019): 194–204. http://dx.doi.org/10.1109/tip.2018.2865885.
Повний текст джерелаBorgia, Alessandro, Yang Hua, Elyor Kodirov, and Neil M. Robertson. "Cross-View Discriminative Feature Learning for Person Re-Identification." IEEE Transactions on Image Processing 27, no. 11 (November 2018): 5338–49. http://dx.doi.org/10.1109/tip.2018.2851098.
Повний текст джерелаDai, Ju, Ying Zhang, Huchuan Lu, and Hongyu Wang. "Cross-view semantic projection learning for person re-identification." Pattern Recognition 75 (March 2018): 63–76. http://dx.doi.org/10.1016/j.patcog.2017.04.022.
Повний текст джерелаCHEN, Xue, Chunheng WANG, Baihua XIAO, and Song GAO. "Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition." IEICE Transactions on Information and Systems E97.D, no. 12 (2014): 3239–43. http://dx.doi.org/10.1587/transinf.2014edl8095.
Повний текст джерелаLi, Sheng, Ming Shao, and Yun Fu. "Person Re-Identification by Cross-View Multi-Level Dictionary Learning." IEEE Transactions on Pattern Analysis and Machine Intelligence 40, no. 12 (December 1, 2018): 2963–77. http://dx.doi.org/10.1109/tpami.2017.2764893.
Повний текст джерелаXu, Wanjiang, Canyan Zhu, and Ziou Wang. "Multiview max-margin subspace learning for cross-view gait recognition." Pattern Recognition Letters 107 (May 2018): 75–82. http://dx.doi.org/10.1016/j.patrec.2017.10.033.
Повний текст джерелаTang, Chang, Xinzhong Zhu, Xinwang Liu, and Lizhe Wang. "Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5101–8. http://dx.doi.org/10.1609/aaai.v33i01.33015101.
Повний текст джерелаShi, Yujiao, Xin Yu, Liu Liu, Tong Zhang, and Hongdong Li. "Optimal Feature Transport for Cross-View Image Geo-Localization." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11990–97. http://dx.doi.org/10.1609/aaai.v34i07.6875.
Повний текст джерелаLiu, Yixiu, Yunzhou Zhang, Bir Bhanu, Sonya Coleman, and Dermot Kerr. "Multi-level cross-view consistent feature learning for person re-identification." Neurocomputing 435 (May 2021): 1–14. http://dx.doi.org/10.1016/j.neucom.2021.01.010.
Повний текст джерелаQi, Y. J., Y. P. Kong, and Q. Zhang. "A Cross-View Gait Recognition Method Using Two-Way Similarity Learning." Mathematical Problems in Engineering 2022 (May 23, 2022): 1–14. http://dx.doi.org/10.1155/2022/2674425.
Повний текст джерелаXia, Zimin, Olaf Booij, Marco Manfredi, and Julian F. P. Kooij. "Cross-View Matching for Vehicle Localization by Learning Geographically Local Representations." IEEE Robotics and Automation Letters 6, no. 3 (July 2021): 5921–28. http://dx.doi.org/10.1109/lra.2021.3088076.
Повний текст джерелаNing, Zhenyuan, Chao Tu, Xiaohui Di, Qianjin Feng, and Yu Zhang. "Deep cross-view co-regularized representation learning for glioma subtype identification." Medical Image Analysis 73 (October 2021): 102160. http://dx.doi.org/10.1016/j.media.2021.102160.
Повний текст джерелаDeng, Siyang, Wei Xia, Quanxue Gao, and Xinbo Gao. "Cross-view classification by joint adversarial learning and class-specificity distribution." Pattern Recognition 110 (February 2021): 107633. http://dx.doi.org/10.1016/j.patcog.2020.107633.
Повний текст джерелаHajmohammadi, Mohammad Sadegh, Roliana Ibrahim, and Ali Selamat. "Bi-view semi-supervised active learning for cross-lingual sentiment classification." Information Processing & Management 50, no. 5 (September 2014): 718–32. http://dx.doi.org/10.1016/j.ipm.2014.03.005.
Повний текст джерелаLi, Ao, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, and Kezheng Lin. "Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment." Complexity 2020 (November 4, 2020): 1–14. http://dx.doi.org/10.1155/2020/8872348.
Повний текст джерелаChen, Xiaoyun, Yeyuan Kang, and Zhiping Chen. "Multi-nonlinear multi-view locality-preserving projection with similarity learning for random cross-view gait recognition." Multimedia Systems 26, no. 6 (September 14, 2020): 727–44. http://dx.doi.org/10.1007/s00530-020-00685-2.
Повний текст джерелаLiu, Long, Le Yang, and Jie Ding. "Transfer Learning and Identification Method of Cross-View Target Trajectory Utilizing HMM." Mathematical Problems in Engineering 2020 (December 24, 2020): 1–13. http://dx.doi.org/10.1155/2020/6656222.
Повний текст джерелаMambou, Sebastien, Ondrej Krejcar, Kamil Kuca, and Ali Selamat. "Novel Cross-View Human Action Model Recognition Based on the Powerful View-Invariant Features Technique." Future Internet 10, no. 9 (September 13, 2018): 89. http://dx.doi.org/10.3390/fi10090089.
Повний текст джерелаHu, Qian, Wansi Li, Xing Xu, Ning Liu, and Lei Wang. "Learning discriminative representations via variational self-distillation for cross-view geo-localization." Computers and Electrical Engineering 103 (October 2022): 108335. http://dx.doi.org/10.1016/j.compeleceng.2022.108335.
Повний текст джерелаBnouni, Nesrine, Islem Rekik, Mohamed Salah Rhim, and Najoua Essoukri Ben Amara. "Cross-View Self-Similarity Using Shared Dictionary Learning for Cervical Cancer Staging." IEEE Access 7 (2019): 30079–88. http://dx.doi.org/10.1109/access.2019.2902654.
Повний текст джерелаLi, Yandi, Xiping Xu, Jiahong Xu, and Enyu Du. "Bilayer model for cross-view human action recognition based on transfer learning." Journal of Electronic Imaging 28, no. 03 (May 25, 2019): 1. http://dx.doi.org/10.1117/1.jei.28.3.033016.
Повний текст джерелаJiang, Shuqiang, Weiqing Min, and Shuhuan Mei. "Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction." IEEE Transactions on Multimedia 21, no. 6 (June 2019): 1609–19. http://dx.doi.org/10.1109/tmm.2018.2876830.
Повний текст джерелаLi, Peter Ping. "Toward a learning-based view of internationalization: The accelerated trajectories of cross-border learning for latecomers." Journal of International Management 16, no. 1 (March 2010): 43–59. http://dx.doi.org/10.1016/j.intman.2009.05.003.
Повний текст джерелаLin, Guoting, Zexun Zheng, Lin Chen, Tianyi Qin, and Jiahui Song. "Multi-Modal 3D Shape Clustering with Dual Contrastive Learning." Applied Sciences 12, no. 15 (July 22, 2022): 7384. http://dx.doi.org/10.3390/app12157384.
Повний текст джерелаWang, Qi, Weidong Min, Qing Han, Ziyuan Yang, Xin Xiong, Meng Zhu, and Haoyu Zhao. "Viewpoint adaptation learning with cross-view distance metric for robust vehicle re-identification." Information Sciences 564 (July 2021): 71–84. http://dx.doi.org/10.1016/j.ins.2021.02.013.
Повний текст джерелаSholikah, Rizka, Agus Arifin, Chastine Fatichah, and Ayu Purwarianti. "Semantic Relation Detection based on Multi-task Learning and Cross-Lingual-View Embedding." International Journal of Intelligent Engineering and Systems 13, no. 3 (June 30, 2020): 33–45. http://dx.doi.org/10.22266/ijies2020.0630.04.
Повний текст джерелаSchlegel, Claudia, and Roger Kneebone. "Taking a broader view: exploring the materiality of medicine through cross-disciplinary learning." BMJ Simulation and Technology Enhanced Learning 6, no. 2 (November 21, 2018): 108–9. http://dx.doi.org/10.1136/bmjstel-2018-000403.
Повний текст джерелаLi, Ao, Yu Ding, Deyun Chen, Guanglu Sun, Hailong Jiang, and Qidi Wu. "Cross-View Feature Learning via Structures Unlocking Based on Robust Low-Rank Constraint." IEEE Access 8 (2020): 46851–60. http://dx.doi.org/10.1109/access.2020.2978548.
Повний текст джерелаKuehlkamp, Andrey, Allan Pinto, Anderson Rocha, Kevin W. Bowyer, and Adam Czajka. "Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection." IEEE Transactions on Information Forensics and Security 14, no. 6 (June 2019): 1419–31. http://dx.doi.org/10.1109/tifs.2018.2878542.
Повний текст джерелаYu, Jun, Xiao-Jun Wu, and Josef Kittler. "Learning discriminative hashing codes for cross-modal retrieval based on multi-view features." Pattern Analysis and Applications 23, no. 3 (February 12, 2020): 1421–38. http://dx.doi.org/10.1007/s10044-020-00870-z.
Повний текст джерелаWang, Yuanyuan, Xiang Li, Mingxin Jiang, Haiyan Zhang, and E. Tang. "Cross-view pedestrian clustering via graph convolution network for unsupervised person re-identification." Journal of Intelligent & Fuzzy Systems 39, no. 3 (October 7, 2020): 4453–62. http://dx.doi.org/10.3233/jifs-200435.
Повний текст джерелаZhang, Zhong, and Shuang Liu. "Learning Discriminative Transferable Sparse Coding for Cross-View Action Recognition in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/415021.
Повний текст джерелаZhu, Xiaoke, Xiao-Yuan Jing, Liang Yang, Xinge You, Dan Chen, Guangwei Gao, and Yunhong Wang. "Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification." IEEE Transactions on Circuits and Systems for Video Technology 28, no. 10 (October 2018): 2599–611. http://dx.doi.org/10.1109/tcsvt.2017.2718036.
Повний текст джерелаShen, Xiaobo, Fumin Shen, Quan-Sen Sun, Yang Yang, Yun-Hao Yuan, and Heng Tao Shen. "Semi-Paired Discrete Hashing: Learning Latent Hash Codes for Semi-Paired Cross-View Retrieval." IEEE Transactions on Cybernetics 47, no. 12 (December 2017): 4275–88. http://dx.doi.org/10.1109/tcyb.2016.2606441.
Повний текст джерелаHajmohammadi, Mohammad Sadegh, Roliana Ibrahim, and Ali Selamat. "Cross-lingual sentiment classification using multiple source languages in multi-view semi-supervised learning." Engineering Applications of Artificial Intelligence 36 (November 2014): 195–203. http://dx.doi.org/10.1016/j.engappai.2014.07.020.
Повний текст джерелаRosenstein, Alvin, Catherine Sweeney, and Rakesh Gupta. "Cross-Disciplinary Faculty Perspectives On Experiential Learning." Contemporary Issues in Education Research (CIER) 5, no. 3 (July 9, 2012): 139. http://dx.doi.org/10.19030/cier.v5i3.7090.
Повний текст джерелаChwialkowska, Agnieszka. "Maximizing Cross-Cultural Learning From Exchange Study Abroad Programs: Transformative Learning Theory." Journal of Studies in International Education 24, no. 5 (February 20, 2020): 535–54. http://dx.doi.org/10.1177/1028315320906163.
Повний текст джерелаLuo, Yadong. "Toward a reverse adaptation view in cross-cultural management." Cross Cultural & Strategic Management 23, no. 1 (February 1, 2016): 29–41. http://dx.doi.org/10.1108/ccsm-08-2015-0102.
Повний текст джерелаLan, Yizhou, and Will X. Y. Li. "Personality, Category, and Cross-Linguistic Speech Sound Processing: A Connectivistic View." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/586504.
Повний текст джерелаZhang, Hong, Xingyu Gao, Ping Wu, and Xin Xu. "A cross-media distance metric learning framework based on multi-view correlation mining and matching." World Wide Web 19, no. 2 (April 21, 2015): 181–97. http://dx.doi.org/10.1007/s11280-015-0342-4.
Повний текст джерелаZhao, Xiantong, and Xu Liu. "Academic Visits as Transformative Learning Opportunities: The Case of Chinese Visiting Academics." SAGE Open 12, no. 4 (October 2022): 215824402211347. http://dx.doi.org/10.1177/21582440221134795.
Повний текст джерелаMasturin, Masturin. "Cross-Cultural Counseling as an Effective and Efficient Approach for Students." KONSELING RELIGI Jurnal Bimbingan Konseling Islam 11, no. 2 (November 10, 2020): 341. http://dx.doi.org/10.21043/kr.v11i2.8566.
Повний текст джерелаGeng, Wanxuan, Weixun Zhou, and Shuanggen Jin. "Multi-View Urban Scene Classification with a Complementary-Information Learning Model." Photogrammetric Engineering & Remote Sensing 88, no. 1 (January 1, 2022): 65–72. http://dx.doi.org/10.14358/pers.21-00062r2.
Повний текст джерелаWilliams, Roy, Simone Gumtau, and Jenny Mackness. "Synesthesia: From Cross-Modal to Modality-Free Learning and Knowledge." Leonardo 48, no. 1 (February 2015): 48–54. http://dx.doi.org/10.1162/leon_a_00937.
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