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Статті в журналах з теми "Limited training data"
Oh, Se Eun, Nate Mathews, Mohammad Saidur Rahman, Matthew Wright, and Nicholas Hopper. "GANDaLF: GAN for Data-Limited Fingerprinting." Proceedings on Privacy Enhancing Technologies 2021, no. 2 (January 29, 2021): 305–22. http://dx.doi.org/10.2478/popets-2021-0029.
Повний текст джерелаMcLaughlin, Niall, Ji Ming, and Danny Crookes. "Robust Multimodal Person Identification With Limited Training Data." IEEE Transactions on Human-Machine Systems 43, no. 2 (March 2013): 214–24. http://dx.doi.org/10.1109/tsmcc.2012.2227959.
Повний текст джерелаZhang, Mingyang, Berrak Sisman, Li Zhao, and Haizhou Li. "DeepConversion: Voice conversion with limited parallel training data." Speech Communication 122 (September 2020): 31–43. http://dx.doi.org/10.1016/j.specom.2020.05.004.
Повний текст джерелаQian, Tieyun, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He, Xuhui Li, and Gang Xu. "Tri-Training for authorship attribution with limited training data: a comprehensive study." Neurocomputing 171 (January 2016): 798–806. http://dx.doi.org/10.1016/j.neucom.2015.07.064.
Повний текст джерелаSaunders, Sara L., Ethan Leng, Benjamin Spilseth, Neil Wasserman, Gregory J. Metzger, and Patrick J. Bolan. "Training Convolutional Networks for Prostate Segmentation With Limited Data." IEEE Access 9 (2021): 109214–23. http://dx.doi.org/10.1109/access.2021.3100585.
Повний текст джерелаZhao, Yao, Dong Joo Rhee, Carlos Cardenas, Laurence E. Court, and Jinzhong Yang. "Training deep‐learning segmentation models from severely limited data." Medical Physics 48, no. 4 (February 19, 2021): 1697–706. http://dx.doi.org/10.1002/mp.14728.
Повний текст джерелаHoffbeck, J. P., and D. A. Landgrebe. "Covariance matrix estimation and classification with limited training data." IEEE Transactions on Pattern Analysis and Machine Intelligence 18, no. 7 (July 1996): 763–67. http://dx.doi.org/10.1109/34.506799.
Повний текст джерелаCui, Kaiwen, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, and Shijian Lu. "GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 499–507. http://dx.doi.org/10.1609/aaai.v36i1.19928.
Повний текст джерелаKim, June-Woo, and Ho-Young Jung. "End-to-end speech recognition models using limited training data*." Phonetics and Speech Sciences 12, no. 4 (December 2020): 63–71. http://dx.doi.org/10.13064/ksss.2020.12.4.063.
Повний текст джерелаTambouratzis, George, and Marina Vassiliou. "Swarm Algorithms for NLP - The Case of Limited Training Data." Journal of Artificial Intelligence and Soft Computing Research 9, no. 3 (July 1, 2019): 219–34. http://dx.doi.org/10.2478/jaiscr-2019-0005.
Повний текст джерелаДисертації з теми "Limited training data"
Chang, Eric I.-Chao. "Improving wordspotting performance with limited training data." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/38056.
Повний текст джерелаIncludes bibliographical references (leaves 149-155).
by Eric I-Chao Chang.
Ph.D.
Zama, Ramirez Pierluigi <1992>. "Deep Scene Understanding with Limited Training Data." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9815/1/zamaramirez_pierluigi_tesi.pdf.
Повний текст джерелаMcLaughlin, N. R. "Robust multimodal person identification given limited training data." Thesis, Queen's University Belfast, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.579747.
Повний текст джерелаLi, Jiawei. "Person re-identification with limited labeled training data." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/541.
Повний текст джерелаQu, Lizhen [Verfasser], and Gerhard [Akademischer Betreuer] Weikum. "Sentiment analysis with limited training data / Lizhen Qu. Betreuer: Gerhard Weikum." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2013. http://d-nb.info/1053680104/34.
Повний текст джерелаGuo, Zhenyu. "Data famine in big data era : machine learning algorithms for visual object recognition with limited training data." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/46412.
Повний текст джерелаSäfdal, Joakim. "Data-Driven Engine Fault Classification and Severity Estimation Using Interpolated Fault Modes from Limited Training Data." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173916.
Повний текст джерелаLapin, Maksim [Verfasser], and Bernt [Akademischer Betreuer] Schiele. "Image classification with limited training data and class ambiguity / Maksim Lapin ; Betreuer: Bernt Schiele." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2017. http://d-nb.info/1136607927/34.
Повний текст джерелаTrávníčková, Kateřina. "Interaktivní segmentace 3D CT dat s využitím hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432864.
Повний текст джерелаMorgan, Joseph Troy. "Adaptive hierarchical classification with limited training data." Thesis, 2002. http://wwwlib.umi.com/cr/utexas/fullcit?p3115506.
Повний текст джерелаКниги з теми "Limited training data"
Adaptive Hierarchial Classification with Limited Training Data. Storming Media, 2002.
Знайти повний текст джерелаMalina, Robert M. The influence of physical activity and training on growth and maturation. Edited by Neil Armstrong and Willem van Mechelen. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198757672.003.0032.
Повний текст джерелаRaveesh, B. N., Swaran P. Singh, and Soumitra Pathare. Coercion and mental health services in the Indian subcontinent and the Middle East. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198788065.003.0016.
Повний текст джерелаFinancial management: Control weaknesses limited Customs' ability to ensure that duties were properly assessed : report to the Commissioner, U.S. Customs Service. Washington, D.C: The Office, 1994.
Знайти повний текст джерелаDallmeijer, Annet, and Jost Schnyder. Exercise capacity and training in cerebral palsy and other neuromuscular diseases. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199232482.003.0035.
Повний текст джерелаWilliams, Craig A. Maximal intensity exercise. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199232482.003.0017.
Повний текст джерелаWolbarst, Anthony, and Nathan Yanasak. An Introduction to MRI. Medical Physics Publishing, 2019. http://dx.doi.org/10.54947/9781930524200.
Повний текст джерелаЧастини книг з теми "Limited training data"
Thuraisingham, Bhavani, Mohammad Mehedy Masud, Pallabi Parveen, and Latifur Khan. "Data Stream Classification with Limited Labeled Training Data." In Big Data Analytics with Applications in Insider Threat Detection, 149–70. Boca Raton : Taylor & Francis, CRC Press, 2017.: Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781315119458-14.
Повний текст джерелаSong, Jingkuan, Xu Zhao, Lianli Gao, and Liangliang Cao. "Large-Scale Video Understanding with Limited Training Labels." In Big Data Analytics for Large-Scale Multimedia Search, 89–120. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119376996.ch4.
Повний текст джерелаZhang, Bodong, Beatrice Knudsen, Deepika Sirohi, Alessandro Ferrero, and Tolga Tasdizen. "Stain Based Contrastive Co-training for Histopathological Image Analysis." In Medical Image Learning with Limited and Noisy Data, 106–16. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16760-7_11.
Повний текст джерелаZhang, Yiqing, Yimeng Dai, Jianzhong Qi, Xinxing Xu, and Rui Zhang. "Citation Field Learning by RNN with Limited Training Data." In Lecture Notes in Computer Science, 219–32. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04503-6_23.
Повний текст джерелаTseng, Shih-Lun, and Huei-Yung Lin. "Fish Detection Using Convolutional Neural Networks with Limited Training Data." In Lecture Notes in Computer Science, 735–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41404-7_52.
Повний текст джерелаDing, Guoli, Jianhua Chen, Robert Lax, and Peter Chen. "Efficient Learning of Pseudo-Boolean Functions from Limited Training Data." In Lecture Notes in Computer Science, 323–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11425274_34.
Повний текст джерелаNaga, Varun, Tejas Sudharshan Mathai, Angshuman Paul, and Ronald M. Summers. "Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training." In Medical Image Learning with Limited and Noisy Data, 55–64. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16760-7_6.
Повний текст джерелаHu, Yangwen, Zhehao Zhong, Ruixuan Wang, Hongmei Liu, Zhijun Tan, and Wei-Shi Zheng. "Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 469–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87240-3_45.
Повний текст джерелаPace, Danielle F., Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi H. Moghari, and Polina Golland. "Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease." In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 334–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00889-5_38.
Повний текст джерелаGalke, Lukas, Gunnar Gerstenkorn, and Ansgar Scherp. "A Case Study of Closed-Domain Response Suggestion with Limited Training Data." In Communications in Computer and Information Science, 218–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99133-7_18.
Повний текст джерелаТези доповідей конференцій з теми "Limited training data"
Milan, A., T. Pham, K. Vijay, D. Morrison, A. W. Tow, L. Liu, J. Erskine, et al. "Semantic Segmentation from Limited Training Data." In 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8461082.
Повний текст джерелаWang, S. L., W. H. Lau, and S. H. Leung. "Automatic Lipreading with Limited Training Data." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.301.
Повний текст джерелаQian, Tieyun, Bing Liu, Li Chen, and Zhiyong Peng. "Tri-Training for Authorship Attribution with Limited Training Data." In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/p14-2057.
Повний текст джерелаNguyen, Le T., Ming Zeng, Patrick Tague, and Joy Zhang. "Recognizing new activities with limited training data." In the 2015 ACM International Symposium. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2802083.2808388.
Повний текст джерелаVaessen, Nik, and David van Leeuwen. "Training speaker recognition systems with limited data." In Interspeech 2022. ISCA: ISCA, 2022. http://dx.doi.org/10.21437/interspeech.2022-135.
Повний текст джерелаBaertlein, Brian A., and Ajith H. Gunatilaka. "Optimizing fusion architectures for limited training data sets." In AeroSense 2000, edited by Abinash C. Dubey, James F. Harvey, J. Thomas Broach, and Regina E. Dugan. SPIE, 2000. http://dx.doi.org/10.1117/12.396308.
Повний текст джерелаPeche, Marius, Marelie Davel, and Etienne Barnard. "Phonotactic spoken language identification with limited training data." In Interspeech 2007. ISCA: ISCA, 2007. http://dx.doi.org/10.21437/interspeech.2007-443.
Повний текст джерелаD'Cruz, Ashwin, Christopher Tegho, Sean Greaves, and Lachlan Kermode. "Detecting Tear Gas Canisters With Limited Training Data." In 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2022. http://dx.doi.org/10.1109/wacv51458.2022.00135.
Повний текст джерелаWang, Chenwei, Siyi Luo, Lin Liu, Yin Zhang, Jifang Pei, Yulin Huang, and Jianyu Yang. "SAR ATR under Limited Training Data Via MobileNetV3." In 2023 IEEE Radar Conference (RadarConf23). IEEE, 2023. http://dx.doi.org/10.1109/radarconf2351548.2023.10149606.
Повний текст джерелаLin, James, Kevin Kilgour, Dominik Roblek, and Matthew Sharifi. "Training Keyword Spotters with Limited and Synthesized Speech Data." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053193.
Повний текст джерелаЗвіти організацій з теми "Limited training data"
Willi, Joseph, Keith Stakes, Jack Regan, and Robin Zevotek. Evaluation of Ventilation-Controlled Fires in L-Shaped Training Props. UL's Firefighter Safety Research Institute, October 2016. http://dx.doi.org/10.54206/102376/mijj9867.
Повний текст джерелаPham, Melissa V., William R. Fields, Dustin T. Brown, Dylan A. Pasley, Juan L. Davila-Parez, William D. Meyer, and Matthew D. Hiett. Bridge Resource Inventory Database for Gap Emplacement Selection (BRIDGES). U.S. Army Engineer Research and Development Center, July 2023. http://dx.doi.org/10.21079/11681/47359.
Повний текст джерелаCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Повний текст джерелаCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Повний текст джерелаBerney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40401.
Повний текст джерелаKomba, Aneth, and Richard Shukia. An Analysis of the Basic Education Curriculum in Tanzania: The Integration, Scope, and Sequence of 21st Century Skills. Research on Improving Systems of Education (RISE), February 2023. http://dx.doi.org/10.35489/bsg-rise-wp_2023/129.
Повний текст джерелаBackstrom, Robert, and David Dini. Firefighter Safety and Photovoltaic Systems Summary. UL Firefighter Safety Research Institute, November 2011. http://dx.doi.org/10.54206/102376/kylj9621.
Повний текст джерелаBackstrom, Robert, and David Backstrom. Firefighter Safety and Photovoltaic Installations Research Project. UL Firefighter Safety Research Institute, November 2011. http://dx.doi.org/10.54206/102376/viyv4379.
Повний текст джерелаTarko, Andrew P., Mario A. Romero, Vamsi Krishna Bandaru, and Cristhian Lizarazo. TScan–Stationary LiDAR for Traffic and Safety Applications: Vehicle Interpretation and Tracking. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317402.
Повний текст джерелаMegersa, Kelbesa. Effectiveness and Value for Money of Technical Assistance Approaches: In-house vs Contracting. Institute of Development Studies, July 2022. http://dx.doi.org/10.19088/k4d.2022.135.
Повний текст джерела