Academic literature on the topic 'On-line classification'
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Journal articles on the topic "On-line classification"
HIRAJIMA, Tsuyoshi, Kenji KATAOKA, Takuji NISHIDA, Ryutaro TOSHIMA, and Masami TSUNEKAWA. "On-line Monitoring for Air Classification." Shigen-to-Sozai 118, no. 10/11 (2002): 681–86. http://dx.doi.org/10.2473/shigentosozai.118.681.
Full textKim, Daehak, KwangSik Oh, and Jooyong Shim. "On Line LS-SVM for Classification." Communications for Statistical Applications and Methods 10, no. 2 (August 1, 2003): 595–601. http://dx.doi.org/10.5351/ckss.2003.10.2.595.
Full textBorghese, N. Alberto, and Manuele Fomasi. "Automatic Defect Classification on a Production Line." Intelligent Industrial Systems 1, no. 4 (July 14, 2015): 373–93. http://dx.doi.org/10.1007/s40903-015-0018-5.
Full textKijima, Hiroaki, Shin Yamada, Natsuo Konishi, Hitoshi Kubota, Hiroshi Tazawa, Takayuki Tani, Norio Suzuki, et al. "The Reliability of Classifications of Proximal Femoral Fractures with 3-Dimensional Computed Tomography: The New Concept of Comprehensive Classification." Advances in Orthopedics 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/359689.
Full textZhao, Yaqin. "A Novel On-line Paper Defect Classification Method Based on Multi-representatives Classification." Journal of Information and Computational Science 11, no. 8 (May 20, 2014): 2585–92. http://dx.doi.org/10.12733/jics20103543.
Full textPaek, Eung Gi, John R. Wullert II, and J. S. Patel. "Holographic On-Line Learning Machine for Multicategory Classification." Japanese Journal of Applied Physics 29, Part 2, No. 7 (July 20, 1990): L1332—L1334. http://dx.doi.org/10.1143/jjap.29.l1332.
Full textWang, Hongxing, Zheng Huang, Bin Liu, Xiang Huang, Wei Han, and Hongchen Li. "Transmission Line Scene Classification Based on Light-VGGNet." Journal of Physics: Conference Series 1631 (September 2020): 012038. http://dx.doi.org/10.1088/1742-6596/1631/1/012038.
Full textLee, Young-Hak, Hyung Dae Jin, and Chonghun Han. "On-Line Process State Classification for Adaptive Monitoring." Industrial & Engineering Chemistry Research 45, no. 9 (April 2006): 3095–107. http://dx.doi.org/10.1021/ie048969+.
Full textGaouda, A. M., S. H. Kanoun, and M. M. A. Salama. "On-line disturbance classification using nearest neighbor rule." Electric Power Systems Research 57, no. 1 (January 2001): 1–8. http://dx.doi.org/10.1016/s0378-7796(00)00120-6.
Full textQing, Jianjun, Hong Huo, and Tao Fang. "Pattern classification based on k locally constrained line." Soft Computing 15, no. 4 (April 2010): 703–12. http://dx.doi.org/10.1007/s00500-010-0602-2.
Full textDissertations / Theses on the topic "On-line classification"
Melli, Gabor Settimio. "A lazy model-based approach to on-line classification." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ37590.pdf.
Full textSemienchuk, Sasha. "A portable monitor for automated, on-line cardiorespiratory state classification /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99117.
Full text邱文輝 and Man-fai Yau. "Automatic on-line classification of ECG morphology for ambulatory monitoring." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31209038.
Full textYau, Man-fai. "Automatic on-line classification of ECG morphology for ambulatory monitoring /." [Hong Kong] : University of Hong Kong, 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12433962.
Full textWang, Qiuhong. "Fault Location and Classification for Transmission Line Based on Wavelet Transform." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187676.
Full textMed den snabba utvecklingen av kraftsystem är lokalisering och klassificering av fel avgörande för kontinuiteten och tillförlitligheten hos överföringssystem. I denna avhandling föreslås en vågrörelse-baserad teknik för fellokalisering och klassificering av kraftledningar för högspänning och extremt hög spänning. Vågrörelsebaserat skydd har fördelen av snabb respons och att det inte påverkas av kraft fluktuationer och strömtransformsmättnad. I denna avhandling tas momentana egenskaperna av jord till ledningsfel (vilket kan delas in i stumt jordfel och ljusbågefel) och blixtstörning fram med hjälp av Clarke transformation och wavelet transformation. Skillnaderna mellan de uppmätta vågrörelsernas ankomsttider används för att beräkna fellokalisering och wavelet energin vid olika frekvensband, vilket används för att skilja mellan blixt och olika sorters fel. Ett kriterium föreslås enligt energiförhållandet. Det föreslagna systemet kan identifiera olika sorters fel korrekt och snabbt. Dessutom övervägs påverkan av strömskenans kapacitans, strömtransformator och kopplingskondensatorspänningsomvandlare. Simuleringen av transmissionssystem har gjorts med ATP/EMTP, och beräkningarna är gjorda med MATLAB.
Bellem, Westin Hugo, and Karolina Shi. "An Evaluation of Various On-line Classification Algorithms in Nonstationary Environments." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280406.
Full textOn-line klassificeringsalgoritmer är användbara i fall där data kommer strömmande i stora mängder, något som är vanligt i dagens samhälle. Dock kan precisionen för algoritmerna fallera när drift uppstår i inkommande data (i.e. concept drift). Exempel på concept drift inom väderprognoser är bland annat säsongs- eller klimatförändringar, samt att vädersensorer bryts ned m.m. Syftet med denna rapport är att evaluera och ge en överblick över hur några aktuella on-line klassificeringsalgoritmer hanterar concept drift. Dynamic Weighted Majority(DWM), Adaptive Random Forest(ARF) och K-NearestNeighbor med ADWIN (KNNA) testas på ett Gaussiskt dataset och på SEA datasetet. Naïve Bayes(NB) är också inkluderat som ett riktmärke att förhålla sig till, eftersom det inte är anpassat till drift i inkommande data. Resultat visade att NB hade en märkbart lägre precision i båda dataseten. KNNA hade en något högre precision än resten i det Gaussiska datasetet. Alla on-line algoritmer presterade ungefär likadant i SEA dataseten. Mellan dataseten så hade algoritmerna än lägre precision i SEA datasetet.
Staufer-Steinnocher, Petra, and Manfred M. Fischer. "A Neural Network Classifier for Spectral Pattern Recognition. On-Line versus Off-Line Backpropagation Training." WU Vienna University of Economics and Business, 1997. http://epub.wu.ac.at/4152/1/WSG_DP_6097.pdf.
Full textSeries: Discussion Papers of the Institute for Economic Geography and GIScience
Pester, M. "On-line visualization in parallel computations." Universitätsbibliothek Chemnitz, 1998. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-199801143.
Full textKhoshzaban-Zavarehi, Masoud. "On-line condition monitoring and fault diagnosis in hydraulic system components using parameter estimation and pattern classification." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25078.pdf.
Full textDuée, Cédric, Beate Orberger, Nicolas Maubec, Xavier Bourrat, Mendili Yassine El, Stéphanie Gascoin, Daniel Chateigner, et al. "Challenges in coupled on-line-on-mine-real time mineralogical and chemical analyses on drill cores." TU Bergakademie Freiberg, 2017. https://tubaf.qucosa.de/id/qucosa%3A23177.
Full textBooks on the topic "On-line classification"
Lim, Chee Peng. On-line pattern classification with multiple neural network systems:an experimental study. Sheffield: University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1996.
Find full textMarkey, Karen. technology Dewey decimal classification online project: Evaluation of a library schedule and index integrated into the subjectsearching capabilities of an online catalog : final report to the Council on Library Resources. Dublin, Ohio: OCLC Online Computer Library Center, 1986.
Find full textMarkey, Karen. concise Encyclopedia of special Education: Evaluation of a library schedule and index integrated into the subject searching capabilities of an online catalog. 2nd ed. Dublin, OH: OCLC Computer Library Center, Office of Research, 1985.
Find full textBogumil, Veniamin, and Sarango Duke. Telematics on urban passenger transport. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1819882.
Full textThe impact of patient classification systems on women front-line care workers in rural nursing homes. Ottawa: Status of Women Canada, 2006.
Find full textGoldman, Alvin I. Theory of Mind. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0017.
Full textWahrhaftig, Alexandre de Macêdo. La portada del corregidor. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-060-1.
Full textBurton, Derek, and Margaret Burton. Essential Fish Biology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785552.001.0001.
Full textTemperley, David. The Musical Language of Rock. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190653774.001.0001.
Full textBook chapters on the topic "On-line classification"
Balzanella, Antonio, Yves Lechevallier, and Rosanna Verde. "Clustering Data Streams by On-Line Proximity Updating." In Classification and Data Mining, 97–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28894-4_12.
Full textFlotzinger, Doris, Joachim Kalcher, and Gert Pfurtscheller. "LVQ-Based On-line EEG Classification." In Artificial Neural Nets and Genetic Algorithms, 161–66. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-7533-0_25.
Full textZhang, Ziming, Jiawei Huang, and Ze-Nian Li. "Learning Sparse Features On-Line for Image Classification." In Lecture Notes in Computer Science, 122–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21593-3_13.
Full textVovk, Vladimir. "Universal Well-Calibrated Algorithm for On-Line Classification." In Learning Theory and Kernel Machines, 358–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45167-9_27.
Full textSaad, D. "The Theory of On-line Learning — A Statistical Physics Approach." In Studies in Classification, Data Analysis, and Knowledge Organization, 300–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55721-7_31.
Full textMelli, Gabor. "A Lazy Model-Based Algorithm for On-Line Classification." In Methodologies for Knowledge Discovery and Data Mining, 350–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48912-6_46.
Full textCalvo-Zaragoza, Jorge, Gabriel Vigliensoni, and Ichiro Fujinaga. "Staff-Line Detection on Grayscale Images with Pixel Classification." In Pattern Recognition and Image Analysis, 279–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58838-4_31.
Full textZarei, Roozbeh, Alireza Monemi, and Muhammad Nadzir Marsono. "Retraining Mechanism for On-Line Peer-to-Peer Traffic Classification." In Advances in Intelligent Systems and Computing, 373–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32063-7_40.
Full textYoshimura, Isao, Mitsu Yoshimura, and Shin-ichi Matsuda. "Choice of Multiple Representative Signatures for On-line Signature Verification Using a Clustering Procedure." In Studies in Classification, Data Analysis, and Knowledge Organization, 284–91. Tokyo: Springer Japan, 1998. http://dx.doi.org/10.1007/978-4-431-65950-1_31.
Full textMillán-Giraldo, Mónica, Vicente Javier Traver, and J. Salvador Sánchez. "On-Line Classification of Data Streams with Missing Values Based on Reinforcement Learning." In Pattern Recognition and Image Analysis, 355–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21257-4_44.
Full textConference papers on the topic "On-line classification"
Este, Alice, Francesco Gringoli, and Luca Salgarelli. "On-line SVM traffic classification." In 2011 7th International Wireless Communications and Mobile Computing Conference (IWCMC 2011). IEEE, 2011. http://dx.doi.org/10.1109/iwcmc.2011.5982804.
Full textLi, Shuang, Linjun Sun, Xin Ning, Yuan Shi, and Xiaoli Dong. "Head Pose Classification Based on Line Portrait." In 2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS). IEEE, 2019. http://dx.doi.org/10.1109/hpbdis.2019.8735492.
Full textde Souza, Erico N., Stan Matwin, and Stenio Fernandes. "Traffic classification with on-line ensemble method." In 2014 Global Information Infrastructure and Networking Symposium (GIIS). IEEE, 2014. http://dx.doi.org/10.1109/giis.2014.6934280.
Full textLi, Mengshi, Yang Yu, Tianyao Ji, and Qinghua Wu. "On-line Transmission Line Fault Classification using Long Short-Term Memory." In 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). IEEE, 2019. http://dx.doi.org/10.1109/demped.2019.8864831.
Full textNossenson, Ronit, and Shuval Polacheck. "On-Line Flows Classification of Video Streaming Applications." In 2015 IEEE 14th International Symposium on Network Computing and Applications (NCA). IEEE, 2015. http://dx.doi.org/10.1109/nca.2015.51.
Full textKour, George, and Raid Saabne. "Fast classification of handwritten on-line Arabic characters." In 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR). IEEE, 2014. http://dx.doi.org/10.1109/socpar.2014.7008025.
Full textSrinivas, M., Debaditya Roy, and C. Krishna Mohan. "Music genre classification using On-line Dictionary Learning." In 2014 International Joint Conference on Neural Networks (IJCNN). IEEE, 2014. http://dx.doi.org/10.1109/ijcnn.2014.6889516.
Full textZhang, Jian, Zongjue Qian, Guochu Shou, and Yihong Hu. "An Automated On-line Traffic Flow Classification Scheme." In 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2009. http://dx.doi.org/10.1109/iih-msp.2009.188.
Full textHolze, Marc, Claas Gaidies, and Norbert Ritter. "Consistent on-line classification of dbs workload events." In Proceeding of the 18th ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1645953.1646193.
Full textPirlo, G., V. Cuccovillo, D. Impedovo, and P. Mignone. "On-Line Signature Verification by Multi-domain Classification." In 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2014. http://dx.doi.org/10.1109/icfhr.2014.19.
Full textReports on the topic "On-line classification"
Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Full textLavrentieva, Olena O., Lina M. Rybalko, Oleh O. Tsys, and Aleksandr D. Uchitel. Theoretical and methodical aspects of the organization of students’ independent study activities together with the use of ICT and tools. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3244.
Full textBonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, January 2008. http://dx.doi.org/10.32747/2008.7696531.bard.
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