Статті в журналах з теми "Metric learning paradigm"
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Brockmeier, Austin J., John S. Choi, Evan G. Kriminger, Joseph T. Francis, and Jose C. Principe. "Neural Decoding with Kernel-Based Metric Learning." Neural Computation 26, no. 6 (June 2014): 1080–107. http://dx.doi.org/10.1162/neco_a_00591.
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 джерелаGong, Xiuwen, Dong Yuan, and Wei Bao. "Online Metric Learning for Multi-Label Classification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4012–19. http://dx.doi.org/10.1609/aaai.v34i04.5818.
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 джерелаXiao, Qiao, Khuan Lee, Siti Aisah Mokhtar, Iskasymar Ismail, Ahmad Luqman bin Md Pauzi, Qiuxia Zhang, and Poh Ying Lim. "Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review." Applied Sciences 13, no. 8 (April 14, 2023): 4964. http://dx.doi.org/10.3390/app13084964.
Повний текст джерелаNiu, Gang, Bo Dai, Makoto Yamada, and Masashi Sugiyama. "Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization." Neural Computation 26, no. 8 (August 2014): 1717–62. http://dx.doi.org/10.1162/neco_a_00614.
Повний текст джерелаWilde, Henry, Vincent Knight, and Jonathan Gillard. "Evolutionary dataset optimisation: learning algorithm quality through evolution." Applied Intelligence 50, no. 4 (December 27, 2019): 1172–91. http://dx.doi.org/10.1007/s10489-019-01592-4.
Повний текст джерелаZhukov, Alexey, Jenny Benois-Pineau, and Romain Giot. "Evaluation of Explanation Methods of AI - CNNs in Image Classification Tasks with Reference-based and No-reference Metrics." Advances in Artificial Intelligence and Machine Learning 03, no. 01 (2023): 620–46. http://dx.doi.org/10.54364/aaiml.2023.1143.
Повний текст джерелаPinto, Danna, Anat Prior, and Elana Zion Golumbic. "Assessing the Sensitivity of EEG-Based Frequency-Tagging as a Metric for Statistical Learning." Neurobiology of Language 3, no. 2 (2022): 214–34. http://dx.doi.org/10.1162/nol_a_00061.
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 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 джерелаWang, Yabin, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, and Xiaopeng Hong. "Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (June 26, 2023): 10209–17. http://dx.doi.org/10.1609/aaai.v37i8.26216.
Повний текст джерелаGe, Ce, Jingyu Wang, Qi Qi, Haifeng Sun, Tong Xu, and Jianxin Liao. "Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 7678–86. http://dx.doi.org/10.1609/aaai.v37i6.25931.
Повний текст джерелаDe Santis, Enrico, Alessio Martino, and Antonello Rizzi. "On component-wise dissimilarity measures and metric properties in pattern recognition." PeerJ Computer Science 8 (October 10, 2022): e1106. http://dx.doi.org/10.7717/peerj-cs.1106.
Повний текст джерелаJaiswal, Mimansa, and Emily Mower Provost. "Privacy Enhanced Multimodal Neural Representations for Emotion Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7985–93. http://dx.doi.org/10.1609/aaai.v34i05.6307.
Повний текст джерелаYuan, Fei, Longtu Zhang, Huang Bojun, and Yaobo Liang. "Simpson's Bias in NLP Training." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (May 18, 2021): 14276–83. http://dx.doi.org/10.1609/aaai.v35i16.17679.
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 джерелаWOLFMAN, STEVEN A., and DANIEL S. WELD. "Combining linear programming and satisfiability solving for resource planning." Knowledge Engineering Review 16, no. 1 (March 2001): 85–99. http://dx.doi.org/10.1017/s0269888901000017.
Повний текст джерелаLin, Jianman, Jiantao Lin, Yuefang Gao, Zhijing Yang, and Tianshui Chen. "Webly Supervised Fine-Grained Image Recognition with Graph Representation and Metric Learning." Electronics 11, no. 24 (December 11, 2022): 4127. http://dx.doi.org/10.3390/electronics11244127.
Повний текст джерелаSamann, Fady Esmat Fathel, Adnan Mohsin Abdulazeez, and Shavan Askar. "Fog Computing Based on Machine Learning: A Review." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 12 (June 18, 2021): 21. http://dx.doi.org/10.3991/ijim.v15i12.21313.
Повний текст джерелаElfakharany, Ahmed, and Zool Hilmi Ismail. "End-to-End Deep Reinforcement Learning for Decentralized Task Allocation and Navigation for a Multi-Robot System." Applied Sciences 11, no. 7 (March 24, 2021): 2895. http://dx.doi.org/10.3390/app11072895.
Повний текст джерелаSotiropoulos, Dionisios N., Efthimios Alepis, Katerina Kabassi, Maria K. Virvou, George A. Tsihrintzis, and Evangelos Sakkopoulos. "Artificial Immune System-Based Learning Style Stereotypes." International Journal on Artificial Intelligence Tools 28, no. 04 (June 2019): 1940008. http://dx.doi.org/10.1142/s0218213019400086.
Повний текст джерелаMwata-Velu, Tat’y, Juan Gabriel Avina-Cervantes, Jose Ruiz-Pinales, Tomas Alberto Garcia-Calva, Erick-Alejandro González-Barbosa, Juan B. Hurtado-Ramos, and José-Joel González-Barbosa. "Improving Motor Imagery EEG Classification Based on Channel Selection Using a Deep Learning Architecture." Mathematics 10, no. 13 (July 1, 2022): 2302. http://dx.doi.org/10.3390/math10132302.
Повний текст джерелаLiu, Pingping, Guixia Gou, Xue Shan, Dan Tao, and Qiuzhan Zhou. "Global Optimal Structured Embedding Learning for Remote Sensing Image Retrieval." Sensors 20, no. 1 (January 4, 2020): 291. http://dx.doi.org/10.3390/s20010291.
Повний текст джерелаLi, Hui, Jinhao Liu, and Dian Wang. "A Fast Instance Segmentation Technique for Log End Faces Based on Metric Learning." Forests 14, no. 4 (April 13, 2023): 795. http://dx.doi.org/10.3390/f14040795.
Повний текст джерелаMotaung, William B., Kingsley A. Ogudo, and Chabalala S. Chabalala. "Optimal Video Compression Parameter Tuning for Digital Video Broadcasting (DVB) using Deep Reinforcement Learning." International Conference on Intelligent and Innovative Computing Applications 2022 (December 31, 2022): 270–76. http://dx.doi.org/10.59200/iconic.2022.030.
Повний текст джерелаBenvenuto, Giovana A., Marilaine Colnago, Maurício A. Dias, Rogério G. Negri, Erivaldo A. Silva, and Wallace Casaca. "A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration." Bioengineering 9, no. 8 (August 5, 2022): 369. http://dx.doi.org/10.3390/bioengineering9080369.
Повний текст джерелаSakakushev, Boris E., Blagoi I. Marinov, Penka P. Stefanova, Stefan St Kostianev, and Evangelos K. Georgiou. "Striving for Better Medical Education: the Simulation Approach." Folia Medica 59, no. 2 (June 1, 2017): 123–31. http://dx.doi.org/10.1515/folmed-2017-0039.
Повний текст джерелаKuang, Jiachen, Tangfei Tao, Qingqiang Wu, Chengcheng Han, Fan Wei, Shengchao Chen, Wenjie Zhou, Cong Yan, and Guanghua Xu. "Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions." Sensors 22, no. 17 (August 30, 2022): 6535. http://dx.doi.org/10.3390/s22176535.
Повний текст джерелаManzoor, Sumaira, Ye-Chan An, Gun-Gyo In, Yueyuan Zhang, Sangmin Kim, and Tae-Yong Kuc. "SPT: Single Pedestrian Tracking Framework with Re-Identification-Based Learning Using the Siamese Model." Sensors 23, no. 10 (May 19, 2023): 4906. http://dx.doi.org/10.3390/s23104906.
Повний текст джерелаXu, Yanbing, Yanmei Zhang, Tingxuan Yue, Chengcheng Yu, and Huan Li. "Graph-Based Domain Adaptation Few-Shot Learning for Hyperspectral Image Classification." Remote Sensing 15, no. 4 (February 18, 2023): 1125. http://dx.doi.org/10.3390/rs15041125.
Повний текст джерелаAlshammari, Abdulaziz, and Rakan C. Chabaan. "Sppn-Rn101: Spatial Pyramid Pooling Network with Resnet101-Based Foreign Object Debris Detection in Airports." Mathematics 11, no. 4 (February 7, 2023): 841. http://dx.doi.org/10.3390/math11040841.
Повний текст джерелаLi, Shuyuan, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, and Weiyao Lin. "TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (June 28, 2022): 1404–11. http://dx.doi.org/10.1609/aaai.v36i2.20029.
Повний текст джерелаAlonso-Betanzos, Amparo, Verónica Bolón-Canedo, Guy R. Heyndrickx, and Peter L. M. Kerkhof. "Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning." Clinical Medicine Insights: Cardiology 9s1 (January 2015): CMC.S18746. http://dx.doi.org/10.4137/cmc.s18746.
Повний текст джерелаUzair, Muhammad, Mohsen Eskandari, Li Li, and Jianguo Zhu. "Machine Learning Based Protection Scheme for Low Voltage AC Microgrids." Energies 15, no. 24 (December 12, 2022): 9397. http://dx.doi.org/10.3390/en15249397.
Повний текст джерелаMartinelli, M., C. J. A. P. Martins, S. Nesseris, D. Sapone, I. Tutusaus, A. Avgoustidis, S. Camera, et al. "Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes." Astronomy & Astrophysics 644 (December 2020): A80. http://dx.doi.org/10.1051/0004-6361/202039078.
Повний текст джерелаLyu, Yangxintong, Ionut Schiopu, Bruno Cornelis, and Adrian Munteanu. "Framework for Vehicle Make and Model Recognition—A New Large-Scale Dataset and an Efficient Two-Branch–Two-Stage Deep Learning Architecture." Sensors 22, no. 21 (November 2, 2022): 8439. http://dx.doi.org/10.3390/s22218439.
Повний текст джерелаAmari, Shun-ichi, Hyeyoung Park, and Tomoko Ozeki. "Singularities Affect Dynamics of Learning in Neuromanifolds." Neural Computation 18, no. 5 (May 2006): 1007–65. http://dx.doi.org/10.1162/neco.2006.18.5.1007.
Повний текст джерелаVoulodimos, Athanasios, Eftychios Protopapadakis, Iason Katsamenis, Anastasios Doulamis, and Nikolaos Doulamis. "A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images." Sensors 21, no. 6 (March 22, 2021): 2215. http://dx.doi.org/10.3390/s21062215.
Повний текст джерелаAnand, S. S., P. W. Hamilton, J. G. Hughes, and D. A. Bell. "On Prognostic Models, Artificial Intelligence and Censored Observations." Methods of Information in Medicine 40, no. 01 (2001): 18–24. http://dx.doi.org/10.1055/s-0038-1634459.
Повний текст джерелаYAN, YUHONG, and HAN LIANG. "LAZY LEARNER ON DECISION TREE FOR RANKING." International Journal on Artificial Intelligence Tools 17, no. 01 (February 2008): 139–58. http://dx.doi.org/10.1142/s0218213008003819.
Повний текст джерелаRayala, Venkat, and Satyanarayan Reddy Kalli. "Big Data Clustering Using Improvised Fuzzy C-Means Clustering." Revue d'Intelligence Artificielle 34, no. 6 (December 31, 2020): 701–8. http://dx.doi.org/10.18280/ria.340604.
Повний текст джерелаLongo, Mathias, Matías Hirsch, Cristian Mateos, and Alejandro Zunino. "Towards Integrating Mobile Devices into Dew Computing: A Model for Hour-Wise Prediction of Energy Availability." Information 10, no. 3 (February 26, 2019): 86. http://dx.doi.org/10.3390/info10030086.
Повний текст джерелаTamm, Markus-Oliver, Yar Muhammad, and Naveed Muhammad. "Classification of Vowels from Imagined Speech with Convolutional Neural Networks." Computers 9, no. 2 (June 1, 2020): 46. http://dx.doi.org/10.3390/computers9020046.
Повний текст джерелаDave, Chitrak Vimalbhai. "An Efficient Framework for Cost and Effort Estimation of Scrum Projects." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 1478–87. http://dx.doi.org/10.22214/ijraset.2021.39030.
Повний текст джерелаGalindo-Noreña, Steven, David Cárdenas-Peña, and Álvaro Orozco-Gutierrez. "Multiple Kernel Stein Spatial Patterns for the Multiclass Discrimination of Motor Imagery Tasks." Applied Sciences 10, no. 23 (December 2, 2020): 8628. http://dx.doi.org/10.3390/app10238628.
Повний текст джерелаFeng, Jialiang, and Jie Gong. "AoI-Aware Optimization of Service Caching-Assisted Offloading and Resource Allocation in Edge Cellular Networks." Sensors 23, no. 6 (March 21, 2023): 3306. http://dx.doi.org/10.3390/s23063306.
Повний текст джерелаPowers, David. "Unsupervised Learning of Linguistic Structure." International Journal of Corpus Linguistics 2, no. 1 (January 1, 1997): 91–131. http://dx.doi.org/10.1075/ijcl.2.1.06pow.
Повний текст джерелаAzam, Abu Bakr, Yu Qing Chang, Matthew Leong Tze Ker, Denise Goh, Jeffrey Chun Tatt Lim, Mai Chan Lau, Benedict Tan, Lihui Huang, Joe Yeong, and Yiyu Cai. "818 Using deep learning approaches with mIF images to enhance T cell identification for tumor -automation of infiltrating lymphocytes (TILs) scoring on H&E images." Journal for ImmunoTherapy of Cancer 9, Suppl 2 (November 2021): A855—A856. http://dx.doi.org/10.1136/jitc-2021-sitc2021.818.
Повний текст джерелаSamtani, Sagar, Yidong Chai, and Hsinchun Chen. "Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence: An Attention-Based Deep Structured Semantic Model." MIS Quarterly 46, no. 2 (May 24, 2022): 911–46. http://dx.doi.org/10.25300/misq/2022/15392.
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