Academic literature on the topic 'Independent component analysis'
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Journal articles on the topic "Independent component analysis"
Kemp, Freda. "Independent Component Analysis Independent Component Analysis: Principles and Practice." Journal of the Royal Statistical Society: Series D (The Statistician) 52, no. 3 (October 2003): 412. http://dx.doi.org/10.1111/1467-9884.00369_14.
Full textHong, Sung Ee. "Exploring Independent Component Analysis Based on Ball Covariance." Korean Data Analysis Society 21, no. 6 (December 31, 2019): 2721–35. http://dx.doi.org/10.37727/jkdas.2019.21.6.2721.
Full textUnnisa, Yaseen, Danh Tran, and Fu Chun Huang. "Statistical Independence and Independent Component Analysis." Applied Mechanics and Materials 553 (May 2014): 564–69. http://dx.doi.org/10.4028/www.scientific.net/amm.553.564.
Full textKAWAMOTO, Mitsuru. "Independent Component Analysis." Journal of Japan Society for Fuzzy Theory and Systems 11, no. 5 (1999): 759–62. http://dx.doi.org/10.3156/jfuzzy.11.5_55.
Full textSztemberg-Lewandowska, Mirosława. "INDEPENDENT COMPONENT ANALYSIS." Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, no. 468 (2017): 222–29. http://dx.doi.org/10.15611/pn.2017.468.23.
Full textFearn, Tom. "Independent Component Analysis." NIR news 19, no. 3 (May 2008): 13–14. http://dx.doi.org/10.1255/nirn.1073.
Full textLiu, Thomas T., Karla L. Miller, Eric C. Wong, Lawrence R. Frank, and Richard B. Buxton. "Identifying meaningful components in independent component analysis." NeuroImage 11, no. 5 (May 2000): S652. http://dx.doi.org/10.1016/s1053-8119(00)91582-9.
Full textHyvärinen, Aapo, Patrik O. Hoyer, and Mika Inki. "Topographic Independent Component Analysis." Neural Computation 13, no. 7 (July 1, 2001): 1527–58. http://dx.doi.org/10.1162/089976601750264992.
Full textLeite, I. C. C., T. Sáfadi, and M. L. M. Carvalho. "Evaluation of seed radiographic images by independent component analysis and discriminant analysis." Seed Science and Technology 41, no. 2 (August 1, 2013): 235–44. http://dx.doi.org/10.15258/sst.2013.41.2.06.
Full textHonório, Bruno César Zanardo, Alexandre Cruz Sanchetta, Emilson Pereira Leite, and Alexandre Campane Vidal. "Independent component spectral analysis." Interpretation 2, no. 1 (February 1, 2014): SA21—SA29. http://dx.doi.org/10.1190/int-2013-0074.1.
Full textDissertations / Theses on the topic "Independent component analysis"
Gao, Pei. "Nonlinear independent component analysis." Thesis, University of Newcastle Upon Tyne, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437979.
Full textHarmeling, Stefan. "Independent component analysis and beyond." Phd thesis, [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973631805.
Full textBlaschke, Tobias. "Independent component analysis and slow feature analysis." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2005. http://dx.doi.org/10.18452/15270.
Full textWithin this thesis, we focus on the relation between independent component analysis (ICA) and slow feature analysis (SFA). To allow a comparison between both methods we introduce CuBICA2, an ICA algorithm based on second-order statistics only, i.e.\ cross-correlations. In contrast to algorithms based on higher-order statistics not only instantaneous cross-correlations but also time-delayed cross correlations are considered for minimization. CuBICA2 requires signal components with auto-correlation like in SFA, and has the ability to separate source signal components that have a Gaussian distribution. Furthermore, we derive an alternative formulation of the SFA objective function and compare it with that of CuBICA2. In the case of a linear mixture the two methods are equivalent if a single time delay is taken into account. The comparison can not be extended to the case of several time delays. For ICA a straightforward extension can be derived, but a similar extension to SFA yields an objective function that can not be interpreted in the sense of SFA. However, a useful extension in the sense of SFA to more than one time delay can be derived. This extended SFA reveals the close connection between the slowness objective of SFA and temporal predictability. Furthermore, we combine CuBICA2 and SFA. The result can be interpreted from two perspectives. From the ICA point of view the combination leads to an algorithm that solves the nonlinear blind source separation problem. From the SFA point of view the combination of ICA and SFA is an extension to SFA in terms of statistical independence. Standard SFA extracts slowly varying signal components that are uncorrelated meaning they are statistically independent up to second-order. The integration of ICA leads to signal components that are more or less statistically independent.
Brock, James L. "Acoustic classification using independent component analysis /." Link to online version, 2006. https://ritdml.rit.edu/dspace/handle/1850/2067.
Full textPapathanassiou, Christos. "Independent component analysis of magnetoencephalographic signals." Thesis, University of Surrey, 2003. http://epubs.surrey.ac.uk/771941/.
Full textMiskin, James William. "Ensemble learning for independent component analysis." Thesis, University of Cambridge, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621116.
Full textGarvey, Jennie Hill. "Independent component analysis by entropy maximization (infomax)." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FGarvey.pdf.
Full textThesis Advisor(s): Frank E. Kragh. "June 2007." Includes bibliographical references (p. 103). Also available in print.
Mitianoudis, Nikolaos. "Audio source separation using independent component analysis." Thesis, Queen Mary, University of London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406171.
Full textChoudrey, Rizwan A. "Variational methods for Bayesian independent component analysis." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275566.
Full textKalkan, Olcay Altınkaya Mustafa Aziz. "Independent component analysis applications in CDMA systems/." [s.l.]: [s.n.], 2004. http://library.iyte.edu.tr/tezler/master/elektronikvehaberlesme/T000473.rar.
Full textBooks on the topic "Independent component analysis"
Hyvarinen, Aapo. Independent component analysis. New York: J. Wiley, 2001.
Find full textJuha, Karhunen, and Oja Erkki, eds. Independent component analysis. New York: J. Wiley, 2001.
Find full textLee, Te-Won. Independent Component Analysis. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2851-4.
Full textGirolami, Mark, ed. Advances in Independent Component Analysis. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0443-8.
Full textGirolami, Mark. Advances in Independent Component Analysis. London: Springer London, 2000.
Find full textLee, Te-Won. Independent Component Analysis: Theory and Applications. Boston, MA: Springer US, 1998.
Find full textLee, Te-Won. Independent component analysis: Theory and applications. Boston: Kluwer Academic Publishers, 1998.
Find full textDavies, Mike E., Christopher J. James, Samer A. Abdallah, and Mark D. Plumbley, eds. Independent Component Analysis and Signal Separation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74494-8.
Full textAdali, Tülay, Christian Jutten, João Marcos Travassos Romano, and Allan Kardec Barros, eds. Independent Component Analysis and Signal Separation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00599-2.
Full textPuntonet, Carlos G., and Alberto Prieto, eds. Independent Component Analysis and Blind Signal Separation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b100528.
Full textBook chapters on the topic "Independent component analysis"
Lee, Te-Won. "Independent Component Analysis." In Independent Component Analysis, 27–66. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2851-4_2.
Full textRobila, Stefan A. "Independent Component Analysis." In Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data, 109–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05605-9_5.
Full textDu, Ke-Lin, and M. N. S. Swamy. "Independent Component Analysis." In Neural Networks and Statistical Learning, 419–50. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5571-3_14.
Full textDu, Ke-Lin, and M. N. S. Swamy. "Independent Component Analysis." In Neural Networks and Statistical Learning, 447–82. London: Springer London, 2019. http://dx.doi.org/10.1007/978-1-4471-7452-3_15.
Full textChoi, Seungjin. "Independent Component Analysis." In Handbook of Natural Computing, 435–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-92910-9_13.
Full textBack, Andrew D. "Independent Component Analysis." In Studies in Fuzziness and Soft Computing, 59–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39972-8_3.
Full textEfimov, Dmitry. "Independent Component Analysis." In Encyclopedia of Social Network Analysis and Mining, 1–5. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-7163-9_147-1.
Full textShi, Xizhi. "Independent Component Analysis." In Blind Signal Processing, 60–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11347-5_3.
Full textHyvärinen, Aapo, Jarmo Hurri, and Patrik O. Hoyer. "Independent Component Analysis." In Computational Imaging and Vision, 151–75. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-491-1_7.
Full textEfimov, Dmitry. "Independent Component Analysis." In Encyclopedia of Social Network Analysis and Mining, 724–28. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_147.
Full textConference papers on the topic "Independent component analysis"
Asaba, Kai, Shota Saito, Shunsuke Horii, and Toshiyasu Matsushima. "Bayesian Independent Component Analysis under Hierarchical Model on Independent Components." In 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2018. http://dx.doi.org/10.23919/apsipa.2018.8659578.
Full textSheehan, Michael P., Madeleine S. Kotzagiannidis, and Mike E. Davies. "Compressive Independent Component Analysis." In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019. http://dx.doi.org/10.23919/eusipco.2019.8903095.
Full textSela, Matan, and Ron Kimmel. "Randomized independent component analysis." In 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE). IEEE, 2016. http://dx.doi.org/10.1109/icsee.2016.7806178.
Full textBaloch, S. H., H. Krim, and M. G. Genton. "Robust independent component analysis." In 2005 Microwave Electronics: Measurements, Identification, Applications. IEEE, 2005. http://dx.doi.org/10.1109/ssp.2005.1628565.
Full textWei, Hong, Xinling Shi, Jian Yang, and Yuanyuan Pu. "Speech Independent Component Analysis." In 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmtma.2010.604.
Full textYan Chen and G. Leedham. "Independent component analysis segmentation algorithm." In Eighth International Conference on Document Analysis and Recognition (ICDAR'05). IEEE, 2005. http://dx.doi.org/10.1109/icdar.2005.140.
Full textDuan, Kuaikuai, Vince D. Calhoun, Jingyu Liu, and Rogers F. Silva. "aNy-way Independent Component Analysis." In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9175277.
Full textTheis, F. J. "Mathematics in independent component analysis." In Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isspa.2003.1224952.
Full textZhao, Yongjian, Xiaoming Kong, Haining Jiang, and Meixia Qu. "Constrained independent component analysis techniques." In 2014 IEEE Workshop on Electronics, Computer and Applications (IWECA). IEEE, 2014. http://dx.doi.org/10.1109/iweca.2014.6845646.
Full textPainsky, Amichai, Saharon Rosset, and Meir Feder. "Generalized binary independent component analysis." In 2014 IEEE International Symposium on Information Theory (ISIT). IEEE, 2014. http://dx.doi.org/10.1109/isit.2014.6875048.
Full textReports on the topic "Independent component analysis"
Schennach, Susanne M., and Florian Gunsilius. Independent nonlinear component analysis. The IFS, September 2019. http://dx.doi.org/10.1920/wp.cem.2019.4619.
Full textRobin, Jean-Marc, and Stéphane Bonhomme. Consistent noisy independent component analysis. Institute for Fiscal Studies, February 2008. http://dx.doi.org/10.1920/wp.cem.2008.0408.
Full textSalerno, Marc L. An Independent Component Analysis Blind Beamformer. Fort Belvoir, VA: Defense Technical Information Center, December 2000. http://dx.doi.org/10.21236/ada384795.
Full textKolski, Jeffrey S., Robert J. Macek, and Rodney C. McCrady. Application of Independent Component Analysis (ICA) to Long Bunch Beams in the Los Alamos Storage Ring. Office of Scientific and Technical Information (OSTI), January 2011. http://dx.doi.org/10.2172/1008001.
Full textQi, Yuan. Learning Algorithms for Audio and Video Processing: Independent Component Analysis and Support Vector Machine Based Approaches. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada458739.
Full textNieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 18. Hilbert Press, 2018. http://dx.doi.org/10.56441/hilbertpress.1818.9585.
Full textNieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 20. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2048.3738.
Full textNieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 19. Hilbert Press, 2019. http://dx.doi.org/10.56441/hilbertpress.1927.9364.
Full textMiller, Erik G., and John W. Fisher III. Independent Components Analysis by Direct Entropy Minimization. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada603560.
Full textNELYUBINA, E., and L. PANFILOVA. ASSESSMENT OF THE QUALITY OF EDUCATIONAL ELECTRONIC PUBLICATIONS AND RESOURCES. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-85-97.
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