Literatura académica sobre el tema "Independent component analysis"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Independent component analysis".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "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, n.º 3 (octubre de 2003): 412. http://dx.doi.org/10.1111/1467-9884.00369_14.
Texto completoHong, Sung Ee. "Exploring Independent Component Analysis Based on Ball Covariance". Korean Data Analysis Society 21, n.º 6 (31 de diciembre de 2019): 2721–35. http://dx.doi.org/10.37727/jkdas.2019.21.6.2721.
Texto completoUnnisa, Yaseen, Danh Tran y Fu Chun Huang. "Statistical Independence and Independent Component Analysis". Applied Mechanics and Materials 553 (mayo de 2014): 564–69. http://dx.doi.org/10.4028/www.scientific.net/amm.553.564.
Texto completoKAWAMOTO, Mitsuru. "Independent Component Analysis". Journal of Japan Society for Fuzzy Theory and Systems 11, n.º 5 (1999): 759–62. http://dx.doi.org/10.3156/jfuzzy.11.5_55.
Texto completoSztemberg-Lewandowska, Mirosława. "INDEPENDENT COMPONENT ANALYSIS". Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, n.º 468 (2017): 222–29. http://dx.doi.org/10.15611/pn.2017.468.23.
Texto completoFearn, Tom. "Independent Component Analysis". NIR news 19, n.º 3 (mayo de 2008): 13–14. http://dx.doi.org/10.1255/nirn.1073.
Texto completoLiu, Thomas T., Karla L. Miller, Eric C. Wong, Lawrence R. Frank y Richard B. Buxton. "Identifying meaningful components in independent component analysis". NeuroImage 11, n.º 5 (mayo de 2000): S652. http://dx.doi.org/10.1016/s1053-8119(00)91582-9.
Texto completoHyvärinen, Aapo, Patrik O. Hoyer y Mika Inki. "Topographic Independent Component Analysis". Neural Computation 13, n.º 7 (1 de julio de 2001): 1527–58. http://dx.doi.org/10.1162/089976601750264992.
Texto completoLeite, I. C. C., T. Sáfadi y M. L. M. Carvalho. "Evaluation of seed radiographic images by independent component analysis and discriminant analysis". Seed Science and Technology 41, n.º 2 (1 de agosto de 2013): 235–44. http://dx.doi.org/10.15258/sst.2013.41.2.06.
Texto completoHonório, Bruno César Zanardo, Alexandre Cruz Sanchetta, Emilson Pereira Leite y Alexandre Campane Vidal. "Independent component spectral analysis". Interpretation 2, n.º 1 (1 de febrero de 2014): SA21—SA29. http://dx.doi.org/10.1190/int-2013-0074.1.
Texto completoTesis sobre el tema "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.
Texto completoHarmeling, Stefan. "Independent component analysis and beyond". Phd thesis, [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973631805.
Texto completoBlaschke, 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.
Texto completoWithin 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.
Texto completoPapathanassiou, Christos. "Independent component analysis of magnetoencephalographic signals". Thesis, University of Surrey, 2003. http://epubs.surrey.ac.uk/771941/.
Texto completoMiskin, James William. "Ensemble learning for independent component analysis". Thesis, University of Cambridge, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621116.
Texto completoGarvey, 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.
Texto completoThesis 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.
Texto completoChoudrey, 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.
Texto completoKalkan, 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.
Texto completoLibros sobre el tema "Independent component analysis"
Hyvarinen, Aapo. Independent component analysis. New York: J. Wiley, 2001.
Buscar texto completoJuha, Karhunen y Oja Erkki, eds. Independent component analysis. New York: J. Wiley, 2001.
Buscar texto completoLee, Te-Won. Independent Component Analysis. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2851-4.
Texto completoGirolami, Mark, ed. Advances in Independent Component Analysis. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0443-8.
Texto completoGirolami, Mark. Advances in Independent Component Analysis. London: Springer London, 2000.
Buscar texto completoLee, Te-Won. Independent Component Analysis: Theory and Applications. Boston, MA: Springer US, 1998.
Buscar texto completoLee, Te-Won. Independent component analysis: Theory and applications. Boston: Kluwer Academic Publishers, 1998.
Buscar texto completoDavies, Mike E., Christopher J. James, Samer A. Abdallah y 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.
Texto completoAdali, Tülay, Christian Jutten, João Marcos Travassos Romano y 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.
Texto completoPuntonet, Carlos G. y Alberto Prieto, eds. Independent Component Analysis and Blind Signal Separation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b100528.
Texto completoCapítulos de libros sobre el tema "Independent component analysis"
Lee, Te-Won. "Independent Component Analysis". En Independent Component Analysis, 27–66. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2851-4_2.
Texto completoRobila, Stefan A. "Independent Component Analysis". En 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.
Texto completoDu, Ke-Lin y M. N. S. Swamy. "Independent Component Analysis". En Neural Networks and Statistical Learning, 419–50. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5571-3_14.
Texto completoDu, Ke-Lin y M. N. S. Swamy. "Independent Component Analysis". En Neural Networks and Statistical Learning, 447–82. London: Springer London, 2019. http://dx.doi.org/10.1007/978-1-4471-7452-3_15.
Texto completoChoi, Seungjin. "Independent Component Analysis". En Handbook of Natural Computing, 435–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-92910-9_13.
Texto completoBack, Andrew D. "Independent Component Analysis". En 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.
Texto completoEfimov, Dmitry. "Independent Component Analysis". En 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.
Texto completoShi, Xizhi. "Independent Component Analysis". En Blind Signal Processing, 60–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11347-5_3.
Texto completoHyvärinen, Aapo, Jarmo Hurri y Patrik O. Hoyer. "Independent Component Analysis". En Computational Imaging and Vision, 151–75. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-491-1_7.
Texto completoEfimov, Dmitry. "Independent Component Analysis". En 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.
Texto completoActas de conferencias sobre el tema "Independent component analysis"
Asaba, Kai, Shota Saito, Shunsuke Horii y Toshiyasu Matsushima. "Bayesian Independent Component Analysis under Hierarchical Model on Independent Components". En 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.
Texto completoSheehan, Michael P., Madeleine S. Kotzagiannidis y Mike E. Davies. "Compressive Independent Component Analysis". En 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019. http://dx.doi.org/10.23919/eusipco.2019.8903095.
Texto completoSela, Matan y Ron Kimmel. "Randomized independent component analysis". En 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE). IEEE, 2016. http://dx.doi.org/10.1109/icsee.2016.7806178.
Texto completoBaloch, S. H., H. Krim y M. G. Genton. "Robust independent component analysis". En 2005 Microwave Electronics: Measurements, Identification, Applications. IEEE, 2005. http://dx.doi.org/10.1109/ssp.2005.1628565.
Texto completoWei, Hong, Xinling Shi, Jian Yang y Yuanyuan Pu. "Speech Independent Component Analysis". En 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmtma.2010.604.
Texto completoYan Chen y G. Leedham. "Independent component analysis segmentation algorithm". En Eighth International Conference on Document Analysis and Recognition (ICDAR'05). IEEE, 2005. http://dx.doi.org/10.1109/icdar.2005.140.
Texto completoDuan, Kuaikuai, Vince D. Calhoun, Jingyu Liu y Rogers F. Silva. "aNy-way Independent Component Analysis". En 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.
Texto completoTheis, F. J. "Mathematics in independent component analysis". En Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isspa.2003.1224952.
Texto completoZhao, Yongjian, Xiaoming Kong, Haining Jiang y Meixia Qu. "Constrained independent component analysis techniques". En 2014 IEEE Workshop on Electronics, Computer and Applications (IWECA). IEEE, 2014. http://dx.doi.org/10.1109/iweca.2014.6845646.
Texto completoPainsky, Amichai, Saharon Rosset y Meir Feder. "Generalized binary independent component analysis". En 2014 IEEE International Symposium on Information Theory (ISIT). IEEE, 2014. http://dx.doi.org/10.1109/isit.2014.6875048.
Texto completoInformes sobre el tema "Independent component analysis"
Schennach, Susanne M. y Florian Gunsilius. Independent nonlinear component analysis. The IFS, septiembre de 2019. http://dx.doi.org/10.1920/wp.cem.2019.4619.
Texto completoRobin, Jean-Marc y Stéphane Bonhomme. Consistent noisy independent component analysis. Institute for Fiscal Studies, febrero de 2008. http://dx.doi.org/10.1920/wp.cem.2008.0408.
Texto completoSalerno, Marc L. An Independent Component Analysis Blind Beamformer. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2000. http://dx.doi.org/10.21236/ada384795.
Texto completoKolski, Jeffrey S., Robert J. Macek y 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), enero de 2011. http://dx.doi.org/10.2172/1008001.
Texto completoQi, Yuan. Learning Algorithms for Audio and Video Processing: Independent Component Analysis and Support Vector Machine Based Approaches. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2000. http://dx.doi.org/10.21236/ada458739.
Texto completoNieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 18. Hilbert Press, 2018. http://dx.doi.org/10.56441/hilbertpress.1818.9585.
Texto completoNieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 20. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2048.3738.
Texto completoNieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 19. Hilbert Press, 2019. http://dx.doi.org/10.56441/hilbertpress.1927.9364.
Texto completoMiller, Erik G. y John W. Fisher III. Independent Components Analysis by Direct Entropy Minimization. Fort Belvoir, VA: Defense Technical Information Center, enero de 2003. http://dx.doi.org/10.21236/ada603560.
Texto completoNELYUBINA, E. y 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.
Texto completo