Статті в журналах з теми "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, no. 2 (December 30, 2021): 118–31. http://dx.doi.org/10.21831/reid.v7i2.39642.
Повний текст джерелаLi, Zilong. "A Boosting-Based Deep Distance Metric Learning Method." Computational Intelligence and Neuroscience 2022 (March 15, 2022): 1–9. http://dx.doi.org/10.1155/2022/2665843.
Повний текст джерелаDutta, Ujjal Kr, Mehrtash Harandi, and C. Chandra Sekhar. "Unsupervised Metric Learning with Synthetic Examples." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3834–41. http://dx.doi.org/10.1609/aaai.v34i04.5795.
Повний текст джерелаYang, Lu, Peng Wang, and Yanning Zhang. "Stop-Gradient Softmax Loss for Deep Metric Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (June 26, 2023): 3164–72. http://dx.doi.org/10.1609/aaai.v37i3.25421.
Повний текст джерелаDutta, Ujjal Kr, Mehrtash Harandi, and C. Chandra Shekhar. "Semi-Supervised Metric Learning: A Deep Resurrection." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (May 18, 2021): 7279–87. http://dx.doi.org/10.1609/aaai.v35i8.16894.
Повний текст джерелаKaya and Bilge. "Deep Metric Learning: A Survey." Symmetry 11, no. 9 (August 21, 2019): 1066. http://dx.doi.org/10.3390/sym11091066.
Повний текст джерелаSyed, Muhamamd Adnan, Zhenjun Han, Zhaoju Li, and 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.
Повний текст джерелаSaha, Soumadeep, Utpal Garain, Arijit Ukil, Arpan Pal, and Sundeep Khandelwal. "MedTric : A clinically applicable metric for evaluation of multi-label computational diagnostic systems." PLOS ONE 18, no. 8 (August 10, 2023): e0283895. http://dx.doi.org/10.1371/journal.pone.0283895.
Повний текст джерелаBhukar, Karan, Harshit Kumar, Dinesh Raghu, and Ajay Gupta. "End-to-End Deep Reinforcement Learning for Conversation Disentanglement." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 12571–79. http://dx.doi.org/10.1609/aaai.v37i11.26480.
Повний текст джерелаKomamizu, Takahiro. "Combining Multi-ratio Undersampling and Metric Learning for Imbalanced Classification." Journal of Data Intelligence 2, no. 4 (December 2021): 462–75. http://dx.doi.org/10.26421/jdi2.4-5.
Повний текст джерелаSrinivasan, Sriram, Golnoosh Farnadi, and Lise Getoor. "BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (April 3, 2020): 10267–75. http://dx.doi.org/10.1609/aaai.v34i06.6589.
Повний текст джерелаKertész, Gábor. "Deep Metric Learning Using Negative Sampling Probability Annealing." Sensors 22, no. 19 (October 6, 2022): 7579. http://dx.doi.org/10.3390/s22197579.
Повний текст джерелаLiu, Wei, Xinmei Tian, Dacheng Tao, and Jianzhuang Liu. "Constrained Metric Learning Via Distance Gap Maximization." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (July 3, 2010): 518–24. http://dx.doi.org/10.1609/aaai.v24i1.7701.
Повний текст джерелаGomoluch, Paweł, Dalal Alrajeh, and Alessandra Russo. "Learning Classical Planning Strategies with Policy Gradient." Proceedings of the International Conference on Automated Planning and Scheduling 29 (May 25, 2021): 637–45. http://dx.doi.org/10.1609/icaps.v29i1.3531.
Повний текст джерелаQiu, Wei. "Based on Semi-Supervised Clustering with the Boost Similarity Metric Method for Face Retrieval." Applied Mechanics and Materials 543-547 (March 2014): 2720–23. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2720.
Повний текст джерелаShen, 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.
Повний текст джерелаFu, Zheren, Yan Li, Zhendong Mao, Quan Wang, and Yongdong Zhang. "Deep Metric Learning with Self-Supervised Ranking." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (May 18, 2021): 1370–78. http://dx.doi.org/10.1609/aaai.v35i2.16226.
Повний текст джерелаKim, Jonathan, and Stefan Bekiranov. "Generalization Performance of Quantum Metric Learning Classifiers." Biomolecules 12, no. 11 (October 27, 2022): 1576. http://dx.doi.org/10.3390/biom12111576.
Повний текст джерелаYang, Wei, Luhui Xu, Xiaopan Chen, Fengbin Zheng, and 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.
Повний текст джерелаKim, Yonghyun, and Wonpyo Park. "Multi-level Distance Regularization for Deep Metric Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (May 18, 2021): 1827–35. http://dx.doi.org/10.1609/aaai.v35i3.16277.
Повний текст джерелаGräßer, Felix, Hagen Malberg, and Sebastian Zaunseder. "Neighborhood Optimization for Therapy Decision Support." Current Directions in Biomedical Engineering 5, no. 1 (September 1, 2019): 1–4. http://dx.doi.org/10.1515/cdbme-2019-0001.
Повний текст джерелаChen, Baifan, Meng Peng, Lijue Liu, and Tao Lu. "Visual Tracking with Multilevel Sparse Representation and Metric Learning." Journal of Information Technology Research 11, no. 2 (April 2018): 1–12. http://dx.doi.org/10.4018/jitr.2018040101.
Повний текст джерелаJabbar, Ayad Mohammed, and Ku Ruhana Ku-Mahamud. "Grey wolf optimization algorithm for hierarchical document clustering." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (December 1, 2021): 1744. http://dx.doi.org/10.11591/ijeecs.v24.i3.pp1744-1758.
Повний текст джерелаLavanya, L., Chebrolu Ujwala Pavani, Gadchanda Vineeth, and Borada Lavanya. "Operational Multi-Modal Distance Metric Learning to Image Reclamation." International Journal of Engineering & Technology 7, no. 2.32 (May 31, 2018): 405. http://dx.doi.org/10.14419/ijet.v7i2.32.15725.
Повний текст джерелаZhao, Wenda, Ruikai Yang, Yu Liu, and You He. "Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (June 26, 2023): 3624–32. http://dx.doi.org/10.1609/aaai.v37i3.25473.
Повний текст джерелаShen, Fangyao, Yong Peng, Guojun Dai, Baoliang Lu, and Wanzeng Kong. "Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG." Systems 10, no. 2 (April 11, 2022): 47. http://dx.doi.org/10.3390/systems10020047.
Повний текст джерелаKahraman, H. Tolga, Seref Sagiroglu, and Ilhami Colak. "Novel User Modeling Approaches for Personalized Learning Environments." International Journal of Information Technology & Decision Making 15, no. 03 (May 2016): 575–602. http://dx.doi.org/10.1142/s0219622016500164.
Повний текст джерелаMadono, Koki, Masayuki Tanaka, Masaki Onishi, and Tetsuji Ogawa. "Scrambling Parameter Generation to Improve Perceptual Information Hiding." Electronic Imaging 2021, no. 11 (January 18, 2021): 155–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.11.hvei-155.
Повний текст джерелаKim, Taehan, and Wonzoo Chung. "Collaborative Social Metric Learning in Trust Network for Recommender Systems." International Journal on Semantic Web and Information Systems 19, no. 1 (January 20, 2023): 1–15. http://dx.doi.org/10.4018/ijswis.316535.
Повний текст джерелаRudolph, George, and Tony Martinez. "Finding the Real Differences Between Learning Algorithms." International Journal on Artificial Intelligence Tools 24, no. 03 (June 2015): 1550001. http://dx.doi.org/10.1142/s0218213015500013.
Повний текст джерелаHu, Yuan, Lei Chen, Zhibin Wang, Xiang Pan, and Hao Li. "Towards a More Realistic and Detailed Deep-Learning-Based Radar Echo Extrapolation Method." Remote Sensing 14, no. 1 (December 22, 2021): 24. http://dx.doi.org/10.3390/rs14010024.
Повний текст джерелаZHU, SONGHAO, ZHIWEI LIANG, and XIAOYUAN JING. "VIDEO RETRIEVAL VIA LEARNING COLLABORATIVE SEMANTIC DISTANCE." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 04 (June 2011): 475–90. http://dx.doi.org/10.1142/s0218001411008944.
Повний текст джерелаVizilter, Yu V., O. V. Vygolov, S. Yu Zheltov, and V. V. Kniaz. "METRIC APPROACH TO SEMANTIC-MORPHOLOGICAL IMAGE COMPARISON." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 191 (May 2020): 3–12. http://dx.doi.org/10.14489/vkit.2020.05.pp.003-012.
Повний текст джерелаVizilter, Yu V., O. V. Vygolov, S. Yu Zheltov, and V. V. Kniaz. "METRIC APPROACH TO SEMANTIC-MORPHOLOGICAL IMAGE COMPARISON." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 191 (May 2020): 3–12. http://dx.doi.org/10.14489/vkit.2020.05.pp.003-012.
Повний текст джерелаBrewster, Lauran R., Ali K. Ibrahim, Breanna C. DeGroot, Thomas J. Ostendorf, Hanqi Zhuang, Laurent M. Chérubin, and Matthew J. Ajemian. "Classifying Goliath Grouper (Epinephelus itajara) Behaviors from a Novel, Multi-Sensor Tag." Sensors 21, no. 19 (September 24, 2021): 6392. http://dx.doi.org/10.3390/s21196392.
Повний текст джерелаKhan, Koffka, and 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, no. 01 (2023): 5822–30. http://dx.doi.org/10.35444/ijana.2023.15112.
Повний текст джерелаJohnson, Gretchen L. "Using a Metric Unit to Help Preservice Teachers Appreciate the Value of Manipulative Materials." Arithmetic Teacher 35, no. 2 (October 1987): 14–20. http://dx.doi.org/10.5951/at.35.2.0014.
Повний текст джерелаLitvynchuk, Andrey, and Lesia Baranovska. "IMPROVING FACE RECOGNITION MODELS USING METRIC LEARNING, LEARNING RATE SCHEDULERS, AND AUGMENTATIONS." Journal of Automation and Information sciences 6 (November 1, 2021): 93–101. http://dx.doi.org/10.34229/1028-0979-2021-6-9.
Повний текст джерелаSchleif, Frank-Michael, and Peter Tino. "Indefinite Proximity Learning: A Review." Neural Computation 27, no. 10 (October 2015): 2039–96. http://dx.doi.org/10.1162/neco_a_00770.
Повний текст джерелаMARKOV, ZDRAVKO. "AN ALGEBRAIC APPROACH TO INDUCTIVE LEARNING." International Journal on Artificial Intelligence Tools 10, no. 01n02 (March 2001): 257–72. http://dx.doi.org/10.1142/s0218213001000519.
Повний текст джерелаWang, Weijie, Hong Zhao, Yikun Yang, YouKang Chang, and Haojie You. "Few-shot short utterance speaker verification using meta-learning." PeerJ Computer Science 9 (April 21, 2023): e1276. http://dx.doi.org/10.7717/peerj-cs.1276.
Повний текст джерелаDou, Jason Xiaotian, Lei Luo, and Raymond Mingrui Yang. "An Optimal Transport Approach to Deep Metric Learning (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (June 28, 2022): 12935–36. http://dx.doi.org/10.1609/aaai.v36i11.21604.
Повний текст джерелаCoombes, Caitlin E., Zachary B. Abrams, Suli Li, Lynne V. Abruzzo, and Kevin R. Coombes. "Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia." Journal of the American Medical Informatics Association 27, no. 7 (June 1, 2020): 1019–27. http://dx.doi.org/10.1093/jamia/ocaa060.
Повний текст джерелаSteck, Harald, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, and Justin Basilico. "Deep Learning for Recommender Systems: A Netflix Case Study." AI Magazine 42, no. 3 (November 20, 2021): 7–18. http://dx.doi.org/10.1609/aimag.v42i3.18140.
Повний текст джерелаJawanpuria, Pratik, Arjun Balgovind, Anoop Kunchukuttan, and Bamdev Mishra. "Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach." Transactions of the Association for Computational Linguistics 7 (November 2019): 107–20. http://dx.doi.org/10.1162/tacl_a_00257.
Повний текст джерелаOrozco-Arias, Simon, Johan S. Piña, Reinel Tabares-Soto, Luis F. Castillo-Ossa, Romain Guyot, and Gustavo Isaza. "Measuring Performance Metrics of Machine Learning Algorithms for Detecting and Classifying Transposable Elements." Processes 8, no. 6 (May 27, 2020): 638. http://dx.doi.org/10.3390/pr8060638.
Повний текст джерелаSzostak, Daniel, Adam Włodarczyk, and Krzysztof Walkowiak. "Machine Learning Classification and Regression Approaches for Optical Network Traffic Prediction." Electronics 10, no. 13 (June 30, 2021): 1578. http://dx.doi.org/10.3390/electronics10131578.
Повний текст джерелаKhan, Sarwar, Jun-Cheng Chen, Wen-Hung Liao, and Chu-Song Chen. "Towards Adversarial Robustness for Multi-Mode Data through Metric Learning." Sensors 23, no. 13 (July 5, 2023): 6173. http://dx.doi.org/10.3390/s23136173.
Повний текст джерелаXue, Wanqi, and Wei Wang. "One-Shot Image Classification by Learning to Restore Prototypes." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6558–65. http://dx.doi.org/10.1609/aaai.v34i04.6130.
Повний текст джерелаSchneider, Petra, Michael Biehl, and Barbara Hammer. "Distance Learning in Discriminative Vector Quantization." Neural Computation 21, no. 10 (October 2009): 2942–69. http://dx.doi.org/10.1162/neco.2009.10-08-892.
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