Academic literature on the topic 'Minimum Classification Error algorithm'
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Journal articles on the topic "Minimum Classification Error algorithm"
CHEN, LIANG-HUA, SHAO-HUA DENG, and HONG-YUAN LIAO. "MCE-BASED FACE RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 15, no. 08 (December 2001): 1311–27. http://dx.doi.org/10.1142/s0218001401001477.
Full textXu, Yong, Xiaozhao Fang, Qi Zhu, Yan Chen, Jane You, and Hong Liu. "Modified minimum squared error algorithm for robust classification and face recognition experiments." Neurocomputing 135 (July 2014): 253–61. http://dx.doi.org/10.1016/j.neucom.2013.11.025.
Full textToh, Kar-Ann. "Deterministic Neural Classification." Neural Computation 20, no. 6 (June 2008): 1565–95. http://dx.doi.org/10.1162/neco.2007.04-07-508.
Full textFan, Yu. "Study on Cooperative Multipoint Communication Precoding Algorithm under SLNR-MMSE Framework." Advances in Multimedia 2022 (July 31, 2022): 1–10. http://dx.doi.org/10.1155/2022/9457248.
Full textHuang, Wei, Xiaohui Wang, Yuzhen Jiang, and Yinghui Zhu. "Two-Directional Minimum Squared Error Algorithm and Classification Experiments on Face and Building Images." Journal of Computational and Theoretical Nanoscience 12, no. 11 (November 1, 2015): 4654–60. http://dx.doi.org/10.1166/jctn.2015.4414.
Full textLiu, Zhonghua, Shan Xue, Lin Zhang, Jiexin Pu, and Haijun Wang. "An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2,1}$ -Norm Regularization." IEEE Access 5 (2017): 14133–40. http://dx.doi.org/10.1109/access.2017.2730218.
Full textHu, Zheng-ping, Yan Peng, and Shuhuan Zhao. "A new sparse representation algorithm based on kernel spatial non-minimum residual error for classification." Optik 126, no. 23 (December 2015): 4665–70. http://dx.doi.org/10.1016/j.ijleo.2015.08.088.
Full textZHANG, RUI, XIAO QING DING, and HAI LONG LIU. "DISCRIMINATIVE TRAINING BASED QUADRATIC CLASSIFIER FOR HANDWRITTEN CHARACTER RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 21, no. 06 (September 2007): 1035–46. http://dx.doi.org/10.1142/s0218001407005776.
Full textZhang, Mingmei, Yongan Xue, Yonghui Ge, and Jinling Zhao. "Watershed Segmentation Algorithm Based on Luv Color Space Region Merging for Extracting Slope Hazard Boundaries." ISPRS International Journal of Geo-Information 9, no. 4 (April 17, 2020): 246. http://dx.doi.org/10.3390/ijgi9040246.
Full textKoloko, R. J. Koloko, P. Ele, R. Wamkeue, and A. Melingui. "Fault Detection and Classification of a Photovoltaic Generator Using the BES Optimization Algorithm Associated with SVM." International Journal of Photoenergy 2022 (November 8, 2022): 1–14. http://dx.doi.org/10.1155/2022/6841861.
Full textDissertations / Theses on the topic "Minimum Classification Error algorithm"
Wang, Xuechuan, and n/a. "Feature Extraction and Dimensionality Reduction in Pattern Recognition and Their Application in Speech Recognition." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030619.162803.
Full textWang, Xuechuan. "Feature Extraction and Dimensionality Reduction in Pattern Recognition and Their Application in Speech Recognition." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/365680.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Microelectronic Engineering
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Han, Seungju. "A family of minimum Renyi's error entropy algorithm for information processing." [Gainesville, Fla.] : University of Florida, 2007. http://purl.fcla.edu/fcla/etd/UFE0021428.
Full textFu, Qiang. "A generalization of the minimum classification error (MCE) training method for speech recognition and detection." Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22705.
Full textAlbarakati, Noor. "FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2740.
Full textChen, Nan. "An IEEE 802.15.4 Packet Error Classification Algorithm : Discriminating Between Multipath Fading and Attenuation and WLAN." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-24918.
Full textKunert, Gerd. "Anisotropic mesh construction and error estimation in the finite element method." Universitätsbibliothek Chemnitz, 2000. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200000033.
Full textShin, Sung-Hwan. "Objective-driven discriminative training and adaptation based on an MCE criterion for speech recognition and detection." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50255.
Full textDu, Zekun. "Algorithm Design and Optimization of Convolutional Neural Networks Implemented on FPGAs." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254575.
Full textDeep learning har utvecklats snabbt under den senaste tiden. Det har funnit applikationer inom många områden, som är huvudfälten inom Artificial Intelligence. Kombinationen av Deep Learning och innbyggda system är en god inriktning i det tekniska fältet. Syftet med detta projekt är att designa en Deep Learning-baserad Neural Network algoritm som kan implementeras på hårdvara, till exempel en FPGA. Projektet är baserat på modern forskning inom Deep Learning Neural Networks samt hårdvaruegenskaper.Systemet är baserat på PyTorch och CUDA. Projektets fokus är bild klassificering baserat på Convolutional Neural Networks (CNN). Det finns många bra CNN modeller att studera, t.ex. ResNet, ResNeXt och MobileNet. Genom att applicera dessa modeller till designen valdes en algoritm med MobileNetmodellen. Valet av modell är baserat på faktorer så som antal flyttalsoperationer, antal modellparametrar och klassifikationsprecision. Den mjukvarubaserade versionen av den MobileNet-baserade algoritmen har top-1 error på 5.5En hårdvarusimulering av MobileNet nätverket designades, i vilket parametrarna är konverterade från flyttal till 8-bit heltal. Talen från varje lager klipps till fixed-bit heltal för att anpassa nätverket till befintliga hårdvarubegränsningar. En metod designas för att simulera talförändringen på hårdvaran. Baserat på denna simuleringsmetod reduceras top-1 error till 12.3
Palkki, Ryan D. "Chemical identification under a poisson model for Raman spectroscopy." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/45935.
Full textBooks on the topic "Minimum Classification Error algorithm"
J. P. Marques de Sá. Minimum Error Entropy Classification. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textMarques de Sá, Joaquim P., Luís M. A. Silva, Jorge M. F. Santos, and Luís A. Alexandre. Minimum Error Entropy Classification. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29029-9.
Full textJoaquim P. Marques de Sá, Luís A. Alexandre, Luís M. A. Silva, and Jorge M. F. Santos. Minimum Error Entropy Classification. Springer, 2014.
Find full textMinimum Error Entropy Classification Studies in Computational Intelligence. Springer, 2012.
Find full textBook chapters on the topic "Minimum Classification Error algorithm"
Wen, Bo, Ganlin Shan, and Xiusheng Duan. "Research of Incremental Learning Algorithm Based on the Minimum Classification Error Criterion." In Lecture Notes in Electrical Engineering, 637–43. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4790-9_83.
Full textMarques de Sá, Joaquim P., Luís M. A. Silva, Jorge M. F. Santos, and Luís A. Alexandre. "Introduction." In Minimum Error Entropy Classification, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29029-9_1.
Full textMarques de Sá, Joaquim P., Luís M. A. Silva, Jorge M. F. Santos, and Luís A. Alexandre. "Continuous Risk Functionals." In Minimum Error Entropy Classification, 13–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29029-9_2.
Full textMarques de Sá, Joaquim P., Luís M. A. Silva, Jorge M. F. Santos, and Luís A. Alexandre. "MEE with Continuous Errors." In Minimum Error Entropy Classification, 41–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29029-9_3.
Full textMarques de Sá, Joaquim P., Luís M. A. Silva, Jorge M. F. Santos, and Luís A. Alexandre. "MEE with Discrete Errors." In Minimum Error Entropy Classification, 93–120. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29029-9_4.
Full textMarques de Sá, Joaquim P., Luís M. A. Silva, Jorge M. F. Santos, and Luís A. Alexandre. "EE-Inspired Risks." In Minimum Error Entropy Classification, 121–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29029-9_5.
Full textMarques de Sá, Joaquim P., Luís M. A. Silva, Jorge M. F. Santos, and Luís A. Alexandre. "Applications." In Minimum Error Entropy Classification, 139–213. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29029-9_6.
Full textMa, Boning, Longxing Kong, Xiaoan Tang, and Gangyao Kuang. "The Reverse Loop Subdivision Algorithm on Approximate Minimum Error." In Lecture Notes in Electrical Engineering, 811–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38466-0_90.
Full textLim, Chee Peng, and Robert F. Harrison. "Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network." In Artificial Neural Nets and Genetic Algorithms, 503–6. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-7535-4_130.
Full textShimodaira, Hiroshi, Jun Rokui, and Mitsuru Nakai. "Modified minimum classification error learning and its application to neural networks." In Advances in Pattern Recognition, 785–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0033303.
Full textConference papers on the topic "Minimum Classification Error algorithm"
Ota, Kensuke, Shigeru Katagiri, and Miho Ohsaki. "Minimum Classification Error training employing Real-Coded Genetic Algorithms." In TENCON 2012 - 2012 IEEE Region 10 Conference. IEEE, 2012. http://dx.doi.org/10.1109/tencon.2012.6412201.
Full textZhao, Yunxin, Ping Chen, Paul D. Gader, and Yue Zhang. "Combined evolutionary algorithm and minimum classification error training for DHMM-based land mine detection." In AeroSense 2002, edited by J. Thomas Broach, Russell S. Harmon, and Gerald J. Dobeck. SPIE, 2002. http://dx.doi.org/10.1117/12.479077.
Full textPaliwal, Kuldip K., M. Bacchiani, and Yoshinori Sagisaka. "Minimum classification error training algorithm for feature extractor and pattern classifier in speech recognition." In 4th European Conference on Speech Communication and Technology (Eurospeech 1995). ISCA: ISCA, 1995. http://dx.doi.org/10.21437/eurospeech.1995-30.
Full textZhang, Lijun, Hichem Frigui, and Paul Gader. "Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning." In 2009 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2009. http://dx.doi.org/10.1109/icmla.2009.119.
Full textTemizel, Cenk, Celal Hakan Canbaz, Yildiray Palabiyik, Hakki Aydin, Minh Tran, Mustafa Hakan Ozyurtkan, Mesut Yurukcu, and Paul Johnson. "A Thorough Review of Machine Learning Applications in Oil and Gas Industry." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205720-ms.
Full textWatanabe, Hideyuki, Shigeru Katagiri, Kouta Yamada, Erik McDermott, Atsushi Nakamura, Shinji Watanabe, and Miho Ohsaki. "Minimum Error Classification with geometric margin control." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495645.
Full textCai, Peng, Dongyuan Lin, Wenxing Yan, and Shiyuan Wang. "Diffusion Recursive Minimum Error Entropy Algorithm." In ICDSP 2022: 2022 6th International Conference on Digital Signal Processing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3529570.3529606.
Full textBrandes, Tim, Stefano Scarso, Christian Koch, and Stephan Staudacher. "Data-Driven Analysis of Engine Mission Severity Using Non-Dimensional Groups." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-58673.
Full textChang, Yang-Lang, Jyh-Perng Fang, Wen-Yew Liang, Lena Chang, and Kun-Shan Chen. "Multisource Image Classification Based on Parallel Minimum Classification Error Learning." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4779379.
Full textFangzhi Zhu, Rui Yan, and Yong Sun. "Improved minimum squared error method for robust classification." In 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2014. http://dx.doi.org/10.1109/ccis.2014.7175705.
Full textReports on the topic "Minimum Classification Error algorithm"
Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568747.bard.
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