Добірка наукової літератури з теми "Kernel warping"
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Статті в журналах з теми "Kernel warping"
Zhou, Zhengyi, and David S. Matteson. "Predicting Melbourne ambulance demand using kernel warping." Annals of Applied Statistics 10, no. 4 (December 2016): 1977–96. http://dx.doi.org/10.1214/16-aoas961.
Повний текст джерелаPilario, Karl Ezra, Alexander Tielemans, and Elmer-Rico E. Mojica. "Geographical discrimination of propolis using dynamic time warping kernel principal components analysis." Expert Systems with Applications 187 (January 2022): 115938. http://dx.doi.org/10.1016/j.eswa.2021.115938.
Повний текст джерелаMishra, Piyush, and Piyush Lotia. "Speaker Recognition Using Dynamic Time Warping Polynomial Kernel SVM with Confusion Matrix." i-manager's Journal on Computer Science 3, no. 3 (November 15, 2015): 23–27. http://dx.doi.org/10.26634/jcom.3.3.3662.
Повний текст джерелаChen, Zhicheng, Yuequan Bao, Hui Li, and Billie F. Spencer. "A novel distribution regression approach for data loss compensation in structural health monitoring." Structural Health Monitoring 17, no. 6 (December 8, 2017): 1473–90. http://dx.doi.org/10.1177/1475921717745719.
Повний текст джерелаKamycki, Krzysztof, Tomasz Kapuscinski, and Mariusz Oszust. "Data Augmentation with Suboptimal Warping for Time-Series Classification." Sensors 20, no. 1 (December 23, 2019): 98. http://dx.doi.org/10.3390/s20010098.
Повний текст джерелаAhmed, Rehan, Andriy Temko, William P. Marnane, Geraldine Boylan, and Gordon Lightbody. "Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel." Computers in Biology and Medicine 82 (March 2017): 100–110. http://dx.doi.org/10.1016/j.compbiomed.2017.01.017.
Повний текст джерелаNasonov, A., A. Krylov, and D. Lyukov. "IMAGE SHARPENING WITH BLUR MAP ESTIMATION USING CONVOLUTIONAL NEURAL NETWORK." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W12 (May 9, 2019): 161–66. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w12-161-2019.
Повний текст джерелаRen, Zhiming, Qianzong Bao, and Bingluo Gu. "Joint wave-equation traveltime inversion of diving/direct and reflected waves for P- and S-wave velocity macromodel building." GEOPHYSICS 86, no. 4 (July 1, 2021): R603—R621. http://dx.doi.org/10.1190/geo2020-0762.1.
Повний текст джерелаJeong, Young-Seon. "Semiconductor Wafer Defect Classification Using Support Vector Machine with Weighted Dynamic Time Warping Kernel Function." Industrial Engineering & Management Systems 16, no. 3 (September 30, 2017): 420–26. http://dx.doi.org/10.7232/iems.2017.16.3.420.
Повний текст джерелаJeong, Young-Seon, and Raja Jayaraman. "Support vector-based algorithms with weighted dynamic time warping kernel function for time series classification." Knowledge-Based Systems 75 (February 2015): 184–91. http://dx.doi.org/10.1016/j.knosys.2014.12.003.
Повний текст джерелаЧастини книг з теми "Kernel warping"
Bai, Lu, Luca Rossi, Lixin Cui, and Edwin R. Hancock. "A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework." In Graph-Based Representations in Pattern Recognition, 59–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58961-9_6.
Повний текст джерелаBagheri, Mohammad Ali, Qigang Gao, and Sergio Escalera. "Action Recognition by Pairwise Proximity Function Support Vector Machines with Dynamic Time Warping Kernels." In Advances in Artificial Intelligence, 3–14. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34111-8_1.
Повний текст джерелаAhmed, Ibrahim, Enrico Zio, and Gyunyoung Heo. "Fault Detection by Signal Reconstruction in Nuclear Power Plants." In Nuclear Reactors [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.101276.
Повний текст джерелаТези доповідей конференцій з теми "Kernel warping"
Bai, Lu, Lixin Cui, Yue Wang, Yuhang Jiao, and Edwin R. Hancock. "A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/614.
Повний текст джерелаLei, Hansheng, and Bingyu Sun. "A Study on the Dynamic Time Warping in Kernel Machines." In 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System SITIS. IEEE, 2007. http://dx.doi.org/10.1109/sitis.2007.112.
Повний текст джерелаHamilton-Wright, Andrew, and Daniel W. Stashuk. "Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8512886.
Повний текст джерелаDamoulas, Theodoros, Samuel Henry, Andrew Farnsworth, Michael Lanzone, and Carla Gomes. "Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel." In 2010 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2010. http://dx.doi.org/10.1109/icmla.2010.69.
Повний текст джерелаAkyash, Mohammad, Hoda Mohammadzade, and Hamid Behroozi. "A Dynamic Time Warping Based Kernel for 3D Action Recognition Using Kinect Depth Sensor." In 2020 28th Iranian Conference on Electrical Engineering (ICEE). IEEE, 2020. http://dx.doi.org/10.1109/icee50131.2020.9260988.
Повний текст джерелаWan, Vincent, and James Carmichael. "Polynomial dynamic time warping kernel support vector machines for dysarthric speech recognition with sparse training data." In Interspeech 2005. ISCA: ISCA, 2005. http://dx.doi.org/10.21437/interspeech.2005-853.
Повний текст джерелаHu, Pengchao, Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, and Ye Yuan. "State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model." In 2020 European Control Conference (ECC). IEEE, 2020. http://dx.doi.org/10.23919/ecc51009.2020.9143757.
Повний текст джерелаSambasivan, Lokesh Kumar, Venkataramana Bantwal Kini, Srikanth Ryali, Joydeb Mukherjee, and Dinkar Mylaraswamy. "Comparison of a Few Fault Diagnosis Methods on Sparse Variable Length Time Series Sequences." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27843.
Повний текст джерелаNagendar, G., and C. V. Jawahar. "Fast approximate dynamic warping kernels." In the Second ACM IKDD Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2732587.2732592.
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