Artículos de revistas sobre el tema "Similarity metric learning"
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Loriette, Antoine, Wanyu Liu, Frédéric Bevilacqua y Baptiste Caramiaux. "Describing movement learning using metric learning". PLOS ONE 18, n.º 2 (3 de febrero de 2023): e0272509. http://dx.doi.org/10.1371/journal.pone.0272509.
Texto completoTao, Tao, Qianqian Wang, Yue Ruan, Xue Li y Xiujun Wang. "Graph Embedding with Similarity Metric Learning". Symmetry 15, n.º 8 (21 de agosto de 2023): 1618. http://dx.doi.org/10.3390/sym15081618.
Texto completoLE, Yi-ze, Yong FENG, Da-jiang LIU y Bao-hua QIANG. "Adversarial Metric Learning with Naive Similarity Discriminator". IEICE Transactions on Information and Systems E103.D, n.º 6 (1 de junio de 2020): 1406–13. http://dx.doi.org/10.1587/transinf.2019edp7278.
Texto completoLi, Yujiang, Chun Ding y Zhili Zhou. "Vehicle Matching Based on Similarity Metric Learning". Journal of New Media 4, n.º 1 (2022): 51–58. http://dx.doi.org/10.32604/jnm.2022.028775.
Texto completoWei, Zeqiang, Min Xu, Lin Geng, Haoming Liu y Hua Yin. "Adversarial Similarity Metric Learning for Kinship Verification". IEEE Access 7 (2019): 100029–35. http://dx.doi.org/10.1109/access.2019.2929939.
Texto completoCao, Qiong, Zheng-Chu Guo y Yiming Ying. "Generalization bounds for metric and similarity learning". Machine Learning 102, n.º 1 (20 de junio de 2015): 115–32. http://dx.doi.org/10.1007/s10994-015-5499-7.
Texto completoLowe, David G. "Similarity Metric Learning for a Variable-Kernel Classifier". Neural Computation 7, n.º 1 (enero de 1995): 72–85. http://dx.doi.org/10.1162/neco.1995.7.1.72.
Texto completoGarcia, Noa y George Vogiatzis. "Learning non-metric visual similarity for image retrieval". Image and Vision Computing 82 (febrero de 2019): 18–25. http://dx.doi.org/10.1016/j.imavis.2019.01.001.
Texto completoWang, Huibing, Lin Feng, Jing Zhang y Yang Liu. "Semantic Discriminative Metric Learning for Image Similarity Measurement". IEEE Transactions on Multimedia 18, n.º 8 (agosto de 2016): 1579–89. http://dx.doi.org/10.1109/tmm.2016.2569412.
Texto completoZhang, Lei y David Zhang. "MetricFusion: Generalized metric swarm learning for similarity measure". Information Fusion 30 (julio de 2016): 80–90. http://dx.doi.org/10.1016/j.inffus.2015.12.004.
Texto completoKaya y Bilge. "Deep Metric Learning: A Survey". Symmetry 11, n.º 9 (21 de agosto de 2019): 1066. http://dx.doi.org/10.3390/sym11091066.
Texto completoSyed, Muhamamd Adnan, Zhenjun Han, Zhaoju Li y Jianbin Jiao. "Impostor Resilient Multimodal Metric Learning for Person Reidentification". Advances in Multimedia 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/3202495.
Texto completoMishra, Hare Krishna y Manpreet Kaur. "An Approach for Enhancement of MR Images of Brain Tumor". Traitement du Signal 39, n.º 4 (31 de agosto de 2022): 1133–44. http://dx.doi.org/10.18280/ts.390405.
Texto completoFan, Lili, Hongwei Zhao, Haoyu Zhao, Pingping Liu y Huangshui Hu. "Distribution Structure Learning Loss (DSLL) Based on Deep Metric Learning for Image Retrieval". Entropy 21, n.º 11 (15 de noviembre de 2019): 1121. http://dx.doi.org/10.3390/e21111121.
Texto completoBrockmeier, Austin J., John S. Choi, Evan G. Kriminger, Joseph T. Francis y Jose C. Principe. "Neural Decoding with Kernel-Based Metric Learning". Neural Computation 26, n.º 6 (junio de 2014): 1080–107. http://dx.doi.org/10.1162/neco_a_00591.
Texto completoQiu, Wei. "Based on Semi-Supervised Clustering with the Boost Similarity Metric Method for Face Retrieval". Applied Mechanics and Materials 543-547 (marzo de 2014): 2720–23. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2720.
Texto completoGuo, Zheng-Chu y Yiming Ying. "Guaranteed Classification via Regularized Similarity Learning". Neural Computation 26, n.º 3 (marzo de 2014): 497–522. http://dx.doi.org/10.1162/neco_a_00556.
Texto completoWang, Hang y Duanbing Chen. "Few-Shot Image Classification Based on Ensemble Metric Learning". Journal of Physics: Conference Series 2171, n.º 1 (1 de enero de 2022): 012027. http://dx.doi.org/10.1088/1742-6596/2171/1/012027.
Texto completoWu, Bowen y Huaming Wu. "Scalable Similarity-Consistent Deep Metric Learning for Face Recognition". IEEE Access 7 (2019): 104759–68. http://dx.doi.org/10.1109/access.2019.2931913.
Texto completoQi, Jinwei, Xin Huang y Yuxin Peng. "Cross-media similarity metric learning with unified deep networks". Multimedia Tools and Applications 76, n.º 23 (6 de mayo de 2017): 25109–27. http://dx.doi.org/10.1007/s11042-017-4726-6.
Texto completoFuruya, Takahiko y Ryutarou Ohbuchi. "Similarity metric learning for sketch-based 3D object retrieval". Multimedia Tools and Applications 74, n.º 23 (2 de julio de 2014): 10367–92. http://dx.doi.org/10.1007/s11042-014-2171-3.
Texto completoZhao, Yan-Guo, Zhan Song, Feng Zheng y Ling Shao. "Learning a Multiple Kernel Similarity Metric for kinship verification". Information Sciences 430-431 (marzo de 2018): 247–60. http://dx.doi.org/10.1016/j.ins.2017.11.048.
Texto completoAbualhaj, Mosleh M., Ahmad Adel Abu-Shareha, Qusai Y. Shambour, Adeeb Alsaaidah, Sumaya N. Al-Khatib y Mohammed Anbar. "Customized K-nearest neighbors’ algorithm for malware detection". International Journal of Data and Network Science 8, n.º 1 (2024): 431–38. http://dx.doi.org/10.5267/j.ijdns.2023.9.012.
Texto completoAYDIN, Fatih. "Uzaklık Metriklerinin Performansı Üzerine Ampirik Bir Çalışma". Afyon Kocatepe University Journal of Sciences and Engineering 23, n.º 6 (22 de diciembre de 2023): 1445–57. http://dx.doi.org/10.35414/akufemubid.1325843.
Texto completoXu, Yesong, Shuo Chen, Jun Li y Jianjun Qian. "Linearity-Aware Subspace Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 8 (28 de junio de 2022): 8770–78. http://dx.doi.org/10.1609/aaai.v36i8.20857.
Texto completoMa, Guixiang, Nesreen K. Ahmed, Theodore L. Willke y Philip S. Yu. "Deep graph similarity learning: a survey". Data Mining and Knowledge Discovery 35, n.º 3 (24 de marzo de 2021): 688–725. http://dx.doi.org/10.1007/s10618-020-00733-5.
Texto completoBahrami, Saeedeh, Alireza Bosaghzadeh y Fadi Dornaika. "Multi Similarity Metric Fusion in Graph-Based Semi-Supervised Learning". Computation 7, n.º 1 (7 de marzo de 2019): 15. http://dx.doi.org/10.3390/computation7010015.
Texto completoHua, Keru, Qin Yu y Ruiming Zhang. "A Guaranteed Similarity Metric Learning Framework for Biological Sequence Comparison". IEEE/ACM Transactions on Computational Biology and Bioinformatics 13, n.º 5 (1 de septiembre de 2016): 868–77. http://dx.doi.org/10.1109/tcbb.2015.2495186.
Texto completoAl-Halah, Ziad, Lukas Rybok y Rainer Stiefelhagen. "Transfer metric learning for action similarity using high-level semantics". Pattern Recognition Letters 72 (marzo de 2016): 82–90. http://dx.doi.org/10.1016/j.patrec.2015.07.005.
Texto completoHou, Xiao-Nan, Shou-Hong Ding, Li-Zhuang Ma, Cheng-Jie Wang, Ji-Lin Li y Fei-Yue Huang. "Similarity metric learning for face verification using sigmoid decision function". Visual Computer 32, n.º 4 (2 de abril de 2015): 479–90. http://dx.doi.org/10.1007/s00371-015-1079-x.
Texto completoGundogdu, Batuhan y Michael J. Bianco. "Collaborative similarity metric learning for face recognition in the wild". IET Image Processing 14, n.º 9 (20 de julio de 2020): 1759–68. http://dx.doi.org/10.1049/iet-ipr.2019.0510.
Texto completoHaskins, Grant, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Brad J. Wood y Pingkun Yan. "Learning deep similarity metric for 3D MR–TRUS image registration". International Journal of Computer Assisted Radiology and Surgery 14, n.º 3 (31 de octubre de 2018): 417–25. http://dx.doi.org/10.1007/s11548-018-1875-7.
Texto completoRao, Qiyu. "Research of Metric Learning-Based Method for Person Re-Identification by Intelligent Computer Vision Technology". Journal of Physics: Conference Series 2083, n.º 4 (1 de noviembre de 2021): 042013. http://dx.doi.org/10.1088/1742-6596/2083/4/042013.
Texto completoJawanpuria, Pratik, Arjun Balgovind, Anoop Kunchukuttan y Bamdev Mishra. "Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach". Transactions of the Association for Computational Linguistics 7 (noviembre de 2019): 107–20. http://dx.doi.org/10.1162/tacl_a_00257.
Texto completoZhang, La, Haiyun Guo, Kuan Zhu, Honglin Qiao, Gaopan Huang, Sen Zhang, Huichen Zhang, Jian Sun y Jinqiao Wang. "Hybrid Modality Metric Learning for Visible-Infrared Person Re-Identification". ACM Transactions on Multimedia Computing, Communications, and Applications 18, n.º 1s (28 de febrero de 2022): 1–15. http://dx.doi.org/10.1145/3473341.
Texto completoTang, HongZhong, Xiao Li, Xiang Wang, Lizhen Mao y Ling Zhu. "Unsupervised feature learning via prior information‐based similarity metric learning for face verification". IET Signal Processing 12, n.º 8 (octubre de 2018): 966–74. http://dx.doi.org/10.1049/iet-spr.2017.0017.
Texto completoBashi, D. y S. Zucker. "Quantifying the similarity of planetary system architectures". Astronomy & Astrophysics 651 (julio de 2021): A61. http://dx.doi.org/10.1051/0004-6361/202140699.
Texto completoWang, Qianying, Ming Lu, Meng Li y Fei Guan. "Regularized Semi-Supervised Metric Learning with Latent Structure Preserved". International Journal of Computational Intelligence and Applications 20, n.º 02 (junio de 2021): 2150013. http://dx.doi.org/10.1142/s1469026821500139.
Texto completoWan, Zhijing, Zhixiang Wang, Yuran Wang, Zheng Wang, Hongyuan Zhu y Shin'ichi Satoh. "Contributing Dimension Structure of Deep Feature for Coreset Selection". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 8 (24 de marzo de 2024): 9080–88. http://dx.doi.org/10.1609/aaai.v38i8.28758.
Texto completoGu, Geonmo y Byungsoo Ko. "Symmetrical Synthesis for Deep Metric Learning". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 10853–60. http://dx.doi.org/10.1609/aaai.v34i07.6716.
Texto completoLi, Ruifan, Fangxiang Feng, Xiaojie Wang, Peng Lu y Bohan Li. "Obtaining Cross Modal Similarity Metric with Deep Neural Architecture". Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/293176.
Texto completoOkarma, Krzysztof. "Current Trends and Advances in Image Quality Assessment". Elektronika ir Elektrotechnika 25, n.º 3 (25 de junio de 2019): 77–84. http://dx.doi.org/10.5755/j01.eie.25.3.23681.
Texto completoWang, Huibing, Lin Feng, Xiangzhu Meng, Zhaofeng Chen, Laihang Yu y Hongwei Zhang. "Multi-view metric learning based on KL-divergence for similarity measurement". Neurocomputing 238 (mayo de 2017): 269–76. http://dx.doi.org/10.1016/j.neucom.2017.01.062.
Texto completoZhou, Xiuzhuang, Kai Jin, Min Xu y Guodong Guo. "Learning deep compact similarity metric for kinship verification from face images". Information Fusion 48 (agosto de 2019): 84–94. http://dx.doi.org/10.1016/j.inffus.2018.07.011.
Texto completoPrabhala, Jagat Chaitanya, Venkatnareshbabu K y Ragoju Ravi. "OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIARIZATION SYSTEMS: A MATHEMATICAL FORMULATION". Applied Mathematics and Sciences An International Journal (MathSJ) 10, n.º 1/2 (26 de junio de 2023): 1–10. http://dx.doi.org/10.5121/mathsj.2023.10201.
Texto completoLiu, Wei, Xinmei Tian, Dacheng Tao y Jianzhuang Liu. "Constrained Metric Learning Via Distance Gap Maximization". Proceedings of the AAAI Conference on Artificial Intelligence 24, n.º 1 (3 de julio de 2010): 518–24. http://dx.doi.org/10.1609/aaai.v24i1.7701.
Texto completoKohl, Georg, Li-Wei Chen y Nils Thuerey. "Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 7 (26 de junio de 2023): 8351–59. http://dx.doi.org/10.1609/aaai.v37i7.26007.
Texto completoBazatbekov, Bek, Cemil Turan, Shirali Kadyrov y Askhat Aitimov. "2D face recognition using PCA and triplet similarity embedding". Bulletin of Electrical Engineering and Informatics 12, n.º 1 (1 de febrero de 2023): 580–86. http://dx.doi.org/10.11591/eei.v12i1.4162.
Texto completoSun, Zhiyu, Yusen He, Andrey Gritsenko, Amaury Lendasse y Stephen Baek. "Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks". Journal of Computational Design and Engineering 7, n.º 1 (1 de febrero de 2020): 18–29. http://dx.doi.org/10.1093/jcde/qwaa003.
Texto completoLakman, I., R. Akhmetvaleev, D. Enikeev, R. Khaziakhmetov y O. Chernenko. "Similarity Learning Algorithm Selection for Chronic Renal Failure Patients Treatment Strategy Optimization". INFORMACIONNYE TEHNOLOGII 26, n.º 12 (15 de diciembre de 2020): 701–5. http://dx.doi.org/10.17587/it.26.701-705.
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