Artículos de revistas sobre el tema "Metric Learning Approaches"
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Sandiwarno, Sulis. "Empirical lecturers’ and students’ satisfaction assessment in e-learning systems based on the usage metrics". Research and Evaluation in Education 7, n.º 2 (30 de diciembre de 2021): 118–31. http://dx.doi.org/10.21831/reid.v7i2.39642.
Texto completoLi, Zilong. "A Boosting-Based Deep Distance Metric Learning Method". Computational Intelligence and Neuroscience 2022 (15 de marzo de 2022): 1–9. http://dx.doi.org/10.1155/2022/2665843.
Texto completoDutta, Ujjal Kr, Mehrtash Harandi y C. Chandra Sekhar. "Unsupervised Metric Learning with Synthetic Examples". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 3834–41. http://dx.doi.org/10.1609/aaai.v34i04.5795.
Texto completoYang, Lu, Peng Wang y Yanning Zhang. "Stop-Gradient Softmax Loss for Deep Metric Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 3 (26 de junio de 2023): 3164–72. http://dx.doi.org/10.1609/aaai.v37i3.25421.
Texto completoDutta, Ujjal Kr, Mehrtash Harandi y C. Chandra Shekhar. "Semi-Supervised Metric Learning: A Deep Resurrection". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 8 (18 de mayo de 2021): 7279–87. http://dx.doi.org/10.1609/aaai.v35i8.16894.
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 completoSaha, Soumadeep, Utpal Garain, Arijit Ukil, Arpan Pal y Sundeep Khandelwal. "MedTric : A clinically applicable metric for evaluation of multi-label computational diagnostic systems". PLOS ONE 18, n.º 8 (10 de agosto de 2023): e0283895. http://dx.doi.org/10.1371/journal.pone.0283895.
Texto completoBhukar, Karan, Harshit Kumar, Dinesh Raghu y Ajay Gupta. "End-to-End Deep Reinforcement Learning for Conversation Disentanglement". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 11 (26 de junio de 2023): 12571–79. http://dx.doi.org/10.1609/aaai.v37i11.26480.
Texto completoKomamizu, Takahiro. "Combining Multi-ratio Undersampling and Metric Learning for Imbalanced Classification". Journal of Data Intelligence 2, n.º 4 (diciembre de 2021): 462–75. http://dx.doi.org/10.26421/jdi2.4-5.
Texto completoSrinivasan, Sriram, Golnoosh Farnadi y Lise Getoor. "BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 06 (3 de abril de 2020): 10267–75. http://dx.doi.org/10.1609/aaai.v34i06.6589.
Texto completoKertész, Gábor. "Deep Metric Learning Using Negative Sampling Probability Annealing". Sensors 22, n.º 19 (6 de octubre de 2022): 7579. http://dx.doi.org/10.3390/s22197579.
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 completoGomoluch, Paweł, Dalal Alrajeh y Alessandra Russo. "Learning Classical Planning Strategies with Policy Gradient". Proceedings of the International Conference on Automated Planning and Scheduling 29 (25 de mayo de 2021): 637–45. http://dx.doi.org/10.1609/icaps.v29i1.3531.
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 completoShen, Yican. "Research on the Few-Shot Learning Based on Metrics". SHS Web of Conferences 144 (2022): 03008. http://dx.doi.org/10.1051/shsconf/202214403008.
Texto completoFu, Zheren, Yan Li, Zhendong Mao, Quan Wang y Yongdong Zhang. "Deep Metric Learning with Self-Supervised Ranking". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 2 (18 de mayo de 2021): 1370–78. http://dx.doi.org/10.1609/aaai.v35i2.16226.
Texto completoKim, Jonathan y Stefan Bekiranov. "Generalization Performance of Quantum Metric Learning Classifiers". Biomolecules 12, n.º 11 (27 de octubre de 2022): 1576. http://dx.doi.org/10.3390/biom12111576.
Texto completoYang, Wei, Luhui Xu, Xiaopan Chen, Fengbin Zheng y Yang Liu. "Chi-Squared Distance Metric Learning for Histogram Data". Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/352849.
Texto completoKim, Yonghyun y Wonpyo Park. "Multi-level Distance Regularization for Deep Metric Learning". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 3 (18 de mayo de 2021): 1827–35. http://dx.doi.org/10.1609/aaai.v35i3.16277.
Texto completoGräßer, Felix, Hagen Malberg y Sebastian Zaunseder. "Neighborhood Optimization for Therapy Decision Support". Current Directions in Biomedical Engineering 5, n.º 1 (1 de septiembre de 2019): 1–4. http://dx.doi.org/10.1515/cdbme-2019-0001.
Texto completoChen, Baifan, Meng Peng, Lijue Liu y Tao Lu. "Visual Tracking with Multilevel Sparse Representation and Metric Learning". Journal of Information Technology Research 11, n.º 2 (abril de 2018): 1–12. http://dx.doi.org/10.4018/jitr.2018040101.
Texto completoJabbar, Ayad Mohammed y Ku Ruhana Ku-Mahamud. "Grey wolf optimization algorithm for hierarchical document clustering". Indonesian Journal of Electrical Engineering and Computer Science 24, n.º 3 (1 de diciembre de 2021): 1744. http://dx.doi.org/10.11591/ijeecs.v24.i3.pp1744-1758.
Texto completoLavanya, L., Chebrolu Ujwala Pavani, Gadchanda Vineeth y Borada Lavanya. "Operational Multi-Modal Distance Metric Learning to Image Reclamation". International Journal of Engineering & Technology 7, n.º 2.32 (31 de mayo de 2018): 405. http://dx.doi.org/10.14419/ijet.v7i2.32.15725.
Texto completoZhao, Wenda, Ruikai Yang, Yu Liu y You He. "Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 3 (26 de junio de 2023): 3624–32. http://dx.doi.org/10.1609/aaai.v37i3.25473.
Texto completoShen, Fangyao, Yong Peng, Guojun Dai, Baoliang Lu y Wanzeng Kong. "Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG". Systems 10, n.º 2 (11 de abril de 2022): 47. http://dx.doi.org/10.3390/systems10020047.
Texto completoKahraman, H. Tolga, Seref Sagiroglu y Ilhami Colak. "Novel User Modeling Approaches for Personalized Learning Environments". International Journal of Information Technology & Decision Making 15, n.º 03 (mayo de 2016): 575–602. http://dx.doi.org/10.1142/s0219622016500164.
Texto completoMadono, Koki, Masayuki Tanaka, Masaki Onishi y Tetsuji Ogawa. "Scrambling Parameter Generation to Improve Perceptual Information Hiding". Electronic Imaging 2021, n.º 11 (18 de enero de 2021): 155–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.11.hvei-155.
Texto completoKim, Taehan y Wonzoo Chung. "Collaborative Social Metric Learning in Trust Network for Recommender Systems". International Journal on Semantic Web and Information Systems 19, n.º 1 (20 de enero de 2023): 1–15. http://dx.doi.org/10.4018/ijswis.316535.
Texto completoRudolph, George y Tony Martinez. "Finding the Real Differences Between Learning Algorithms". International Journal on Artificial Intelligence Tools 24, n.º 03 (junio de 2015): 1550001. http://dx.doi.org/10.1142/s0218213015500013.
Texto completoHu, Yuan, Lei Chen, Zhibin Wang, Xiang Pan y Hao Li. "Towards a More Realistic and Detailed Deep-Learning-Based Radar Echo Extrapolation Method". Remote Sensing 14, n.º 1 (22 de diciembre de 2021): 24. http://dx.doi.org/10.3390/rs14010024.
Texto completoZHU, SONGHAO, ZHIWEI LIANG y XIAOYUAN JING. "VIDEO RETRIEVAL VIA LEARNING COLLABORATIVE SEMANTIC DISTANCE". International Journal of Pattern Recognition and Artificial Intelligence 25, n.º 04 (junio de 2011): 475–90. http://dx.doi.org/10.1142/s0218001411008944.
Texto completoVizilter, Yu V., O. V. Vygolov, S. Yu Zheltov y V. V. Kniaz. "METRIC APPROACH TO SEMANTIC-MORPHOLOGICAL IMAGE COMPARISON". Vestnik komp'iuternykh i informatsionnykh tekhnologii, n.º 191 (mayo de 2020): 3–12. http://dx.doi.org/10.14489/vkit.2020.05.pp.003-012.
Texto completoVizilter, Yu V., O. V. Vygolov, S. Yu Zheltov y V. V. Kniaz. "METRIC APPROACH TO SEMANTIC-MORPHOLOGICAL IMAGE COMPARISON". Vestnik komp'iuternykh i informatsionnykh tekhnologii, n.º 191 (mayo de 2020): 3–12. http://dx.doi.org/10.14489/vkit.2020.05.pp.003-012.
Texto completoBrewster, Lauran R., Ali K. Ibrahim, Breanna C. DeGroot, Thomas J. Ostendorf, Hanqi Zhuang, Laurent M. Chérubin y Matthew J. Ajemian. "Classifying Goliath Grouper (Epinephelus itajara) Behaviors from a Novel, Multi-Sensor Tag". Sensors 21, n.º 19 (24 de septiembre de 2021): 6392. http://dx.doi.org/10.3390/s21196392.
Texto completoKhan, Koffka y Wayne Goodridge. "Comparative study of One-Shot Learning in Dynamic Adaptive Streaming over HTTP : A Taxonomy-Based Analysis". International Journal of Advanced Networking and Applications 15, n.º 01 (2023): 5822–30. http://dx.doi.org/10.35444/ijana.2023.15112.
Texto completoJohnson, Gretchen L. "Using a Metric Unit to Help Preservice Teachers Appreciate the Value of Manipulative Materials". Arithmetic Teacher 35, n.º 2 (octubre de 1987): 14–20. http://dx.doi.org/10.5951/at.35.2.0014.
Texto completoLitvynchuk, Andrey y Lesia Baranovska. "IMPROVING FACE RECOGNITION MODELS USING METRIC LEARNING, LEARNING RATE SCHEDULERS, AND AUGMENTATIONS". Journal of Automation and Information sciences 6 (1 de noviembre de 2021): 93–101. http://dx.doi.org/10.34229/1028-0979-2021-6-9.
Texto completoSchleif, Frank-Michael y Peter Tino. "Indefinite Proximity Learning: A Review". Neural Computation 27, n.º 10 (octubre de 2015): 2039–96. http://dx.doi.org/10.1162/neco_a_00770.
Texto completoMARKOV, ZDRAVKO. "AN ALGEBRAIC APPROACH TO INDUCTIVE LEARNING". International Journal on Artificial Intelligence Tools 10, n.º 01n02 (marzo de 2001): 257–72. http://dx.doi.org/10.1142/s0218213001000519.
Texto completoWang, Weijie, Hong Zhao, Yikun Yang, YouKang Chang y Haojie You. "Few-shot short utterance speaker verification using meta-learning". PeerJ Computer Science 9 (21 de abril de 2023): e1276. http://dx.doi.org/10.7717/peerj-cs.1276.
Texto completoDou, Jason Xiaotian, Lei Luo y Raymond Mingrui Yang. "An Optimal Transport Approach to Deep Metric Learning (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 11 (28 de junio de 2022): 12935–36. http://dx.doi.org/10.1609/aaai.v36i11.21604.
Texto completoCoombes, Caitlin E., Zachary B. Abrams, Suli Li, Lynne V. Abruzzo y Kevin R. Coombes. "Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia". Journal of the American Medical Informatics Association 27, n.º 7 (1 de junio de 2020): 1019–27. http://dx.doi.org/10.1093/jamia/ocaa060.
Texto completoSteck, Harald, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond y Justin Basilico. "Deep Learning for Recommender Systems: A Netflix Case Study". AI Magazine 42, n.º 3 (20 de noviembre de 2021): 7–18. http://dx.doi.org/10.1609/aimag.v42i3.18140.
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 completoOrozco-Arias, Simon, Johan S. Piña, Reinel Tabares-Soto, Luis F. Castillo-Ossa, Romain Guyot y Gustavo Isaza. "Measuring Performance Metrics of Machine Learning Algorithms for Detecting and Classifying Transposable Elements". Processes 8, n.º 6 (27 de mayo de 2020): 638. http://dx.doi.org/10.3390/pr8060638.
Texto completoSzostak, Daniel, Adam Włodarczyk y Krzysztof Walkowiak. "Machine Learning Classification and Regression Approaches for Optical Network Traffic Prediction". Electronics 10, n.º 13 (30 de junio de 2021): 1578. http://dx.doi.org/10.3390/electronics10131578.
Texto completoKhan, Sarwar, Jun-Cheng Chen, Wen-Hung Liao y Chu-Song Chen. "Towards Adversarial Robustness for Multi-Mode Data through Metric Learning". Sensors 23, n.º 13 (5 de julio de 2023): 6173. http://dx.doi.org/10.3390/s23136173.
Texto completoXue, Wanqi y Wei Wang. "One-Shot Image Classification by Learning to Restore Prototypes". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 6558–65. http://dx.doi.org/10.1609/aaai.v34i04.6130.
Texto completoSchneider, Petra, Michael Biehl y Barbara Hammer. "Distance Learning in Discriminative Vector Quantization". Neural Computation 21, n.º 10 (octubre de 2009): 2942–69. http://dx.doi.org/10.1162/neco.2009.10-08-892.
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