Literatura académica sobre el tema "Riemannian and barycentric geometry"
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 "Riemannian and barycentric geometry".
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 "Riemannian and barycentric geometry"
Pihajoki, Pauli, Matias Mannerkoski y Peter H. Johansson. "Barycentric interpolation on Riemannian and semi-Riemannian spaces". Monthly Notices of the Royal Astronomical Society 489, n.º 3 (2 de septiembre de 2019): 4161–69. http://dx.doi.org/10.1093/mnras/stz2447.
Texto completoMiranda Jr., Gastão F., Gilson Giraldi, Carlos E. Thomaz y Daniel Millàn. "Composition of Local Normal Coordinates and Polyhedral Geometry in Riemannian Manifold Learning". International Journal of Natural Computing Research 5, n.º 2 (abril de 2015): 37–68. http://dx.doi.org/10.4018/ijncr.2015040103.
Texto completoSabatini, Luca. "Volume Comparison in the presence of a Gromov-Hausdorff ε−approximation II". Annals of West University of Timisoara - Mathematics and Computer Science 56, n.º 1 (1 de julio de 2018): 99–135. http://dx.doi.org/10.2478/awutm-2018-0008.
Texto completoWu, H. y Wilhelm Klingenberg. "Riemannian Geometry." American Mathematical Monthly 92, n.º 7 (agosto de 1985): 519. http://dx.doi.org/10.2307/2322529.
Texto completoLord, Nick, M. P. do Carmo, S. Gallot, D. Hulin, J. Lafontaine, I. Chavel y D. Martin. "Riemannian Geometry". Mathematical Gazette 79, n.º 486 (noviembre de 1995): 623. http://dx.doi.org/10.2307/3618122.
Texto completoMrugała, R. "Riemannian geometry". Reports on Mathematical Physics 27, n.º 2 (abril de 1989): 283–85. http://dx.doi.org/10.1016/0034-4877(89)90011-6.
Texto completoM.Osman, Mohamed. "Differentiable Riemannian Geometry". International Journal of Mathematics Trends and Technology 29, n.º 1 (25 de enero de 2016): 45–55. http://dx.doi.org/10.14445/22315373/ijmtt-v29p508.
Texto completoDimakis, Aristophanes y Folkert Müller-Hoissen. "Discrete Riemannian geometry". Journal of Mathematical Physics 40, n.º 3 (marzo de 1999): 1518–48. http://dx.doi.org/10.1063/1.532819.
Texto completoBeggs, Edwin J. y Shahn Majid. "Poisson–Riemannian geometry". Journal of Geometry and Physics 114 (abril de 2017): 450–91. http://dx.doi.org/10.1016/j.geomphys.2016.12.012.
Texto completoStrichartz, Robert S. "Sub-Riemannian geometry". Journal of Differential Geometry 24, n.º 2 (1986): 221–63. http://dx.doi.org/10.4310/jdg/1214440436.
Texto completoTesis sobre el tema "Riemannian and barycentric geometry"
Farina, Sofia. "Barycentric Subspace Analysis on the Sphere and Image Manifolds". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15797/.
Texto completoLord, Steven. "Riemannian non-commutative geometry /". Title page, abstract and table of contents only, 2002. http://web4.library.adelaide.edu.au/theses/09PH/09phl8661.pdf.
Texto completoMaignant, Elodie. "Plongements barycentriques pour l'apprentissage géométrique de variétés : application aux formes et graphes". Electronic Thesis or Diss., Université Côte d'Azur, 2023. http://www.theses.fr/2023COAZ4096.
Texto completoAn MRI image has over 60,000 pixels. The largest known human protein consists of around 30,000 amino acids. We call such data high-dimensional. In practice, most high-dimensional data is high-dimensional only artificially. For example, of all the images that could be randomly generated by coloring 256 x 256 pixels, only a very small subset would resemble an MRI image of a human brain. This is known as the intrinsic dimension of such data. Therefore, learning high-dimensional data is often synonymous with dimensionality reduction. There are numerous methods for reducing the dimension of a dataset, the most recent of which can be classified according to two approaches.A first approach known as manifold learning or non-linear dimensionality reduction is based on the observation that some of the physical laws behind the data we observe are non-linear. In this case, trying to explain the intrinsic dimension of a dataset with a linear model is sometimes unrealistic. Instead, manifold learning methods assume a locally linear model.Moreover, with the emergence of statistical shape analysis, there has been a growing awareness that many types of data are naturally invariant to certain symmetries (rotations, reparametrizations, permutations...). Such properties are directly mirrored in the intrinsic dimension of such data. These invariances cannot be faithfully transcribed by Euclidean geometry. There is therefore a growing interest in modeling such data using finer structures such as Riemannian manifolds. A second recent approach to dimension reduction consists then in generalizing existing methods to non-Euclidean data. This is known as geometric learning.In order to combine both geometric learning and manifold learning, we investigated the method called locally linear embedding, which has the specificity of being based on the notion of barycenter, a notion a priori defined in Euclidean spaces but which generalizes to Riemannian manifolds. In fact, the method called barycentric subspace analysis, which is one of those generalizing principal component analysis to Riemannian manifolds, is based on this notion as well. Here we rephrase both methods under the new notion of barycentric embeddings. Essentially, barycentric embeddings inherit the structure of most linear and non-linear dimension reduction methods, but rely on a (locally) barycentric -- affine -- model rather than a linear one.The core of our work lies in the analysis of these methods, both on a theoretical and practical level. In particular, we address the application of barycentric embeddings to two important examples in geometric learning: shapes and graphs. In addition to practical implementation issues, each of these examples raises its own theoretical questions, mostly related to the geometry of quotient spaces. In particular, we highlight that compared to standard dimension reduction methods in graph analysis, barycentric embeddings stand out for their better interpretability. In parallel with these examples, we characterize the geometry of locally barycentric embeddings, which generalize the projection computed by locally linear embedding. Finally, algorithms for geometric manifold learning, novel in their approach, complete this work
Lidberg, Petter. "Barycentric and harmonic coordinates". Thesis, Uppsala universitet, Algebra och geometri, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-179487.
Texto completoHall, Stuart James. "Numerical methods and Riemannian geometry". Thesis, Imperial College London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538692.
Texto completoFerreira, Ana Cristina Castro. "Riemannian geometry with skew torsion". Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526550.
Texto completoWu, Bao Qiang. "Geometry of complete Riemannian Submanifolds". Lyon 1, 1998. http://www.theses.fr/1998LYO10064.
Texto completoBoarotto, Francesco. "Topics in sub-Riemannian geometry". Doctoral thesis, SISSA, 2016. http://hdl.handle.net/20.500.11767/4881.
Texto completoPalmer, Ian Christian. "Riemannian geometry of compact metric spaces". Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34744.
Texto completoRaineri, Emanuele. "Quantum Riemannian geometry of finite sets". Thesis, Queen Mary, University of London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414738.
Texto completoLibros sobre el tema "Riemannian and barycentric geometry"
Gallot, Sylvestre, Dominique Hulin y Jacques Lafontaine. Riemannian Geometry. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-97242-3.
Texto completoPetersen, Peter. Riemannian Geometry. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-6434-5.
Texto completoCarmo, Manfredo Perdigão do. Riemannian Geometry. Boston, MA: Birkhäuser Boston, 1992. http://dx.doi.org/10.1007/978-1-4757-2201-7.
Texto completoGallot, Sylvestre, Dominique Hulin y Jacques Lafontaine. Riemannian Geometry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18855-8.
Texto completoPetersen, Peter. Riemannian Geometry. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26654-1.
Texto completoGallot, Sylvestre, Dominique Hulin y Jacques Lafontaine. Riemannian Geometry. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-97026-9.
Texto completo1959-, Hulin D. y Lafontaine, J. 1944 Mar. 10-, eds. Riemannian geometry. Berlin: Springer-Verlag, 1987.
Buscar texto completoSakai, T. Riemannian geometry. Providence, R.I: American Mathematical Society, 1996.
Buscar texto completoCarmo, Manfredo Perdigão do. Riemannian geometry. Boston: Birkhäuser, 1992.
Buscar texto completoCapítulos de libros sobre el tema "Riemannian and barycentric geometry"
Bambi, Cosimo. "Riemannian Geometry". En Introduction to General Relativity, 85–105. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1090-4_5.
Texto completoConlon, Lawrence. "Riemannian Geometry". En Differentiable Manifolds, 293–348. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4757-2284-0_10.
Texto completoAubin, Thierry. "Riemannian Geometry". En Some Nonlinear Problems in Riemannian Geometry, 1–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-13006-3_1.
Texto completoKumaresan, S. "Riemannian Geometry". En A Course in Differential Geometry and Lie Groups, 232–80. Gurgaon: Hindustan Book Agency, 2002. http://dx.doi.org/10.1007/978-93-86279-08-8_5.
Texto completoGadea, P. M. y J. Muñoz Masqué. "Riemannian Geometry". En Analysis and Algebra on Differentiable Manifolds, 233–349. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3564-6_6.
Texto completoKoch, Helmut. "Riemannian geometry". En Introduction to Classical Mathematics I, 182–209. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3218-3_14.
Texto completoMcInerney, Andrew. "Riemannian Geometry". En Undergraduate Texts in Mathematics, 195–270. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7732-7_5.
Texto completoChow, Bennett, Peng Lu y Lei Ni. "Riemannian geometry". En Hamilton’s Ricci Flow, 1–93. Providence, Rhode Island: American Mathematical Society, 2006. http://dx.doi.org/10.1090/gsm/077/01.
Texto completoGadea, Pedro M., Jaime Muñoz Masqué y Ihor V. Mykytyuk. "Riemannian Geometry". En Analysis and Algebra on Differentiable Manifolds, 343–546. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5952-7_6.
Texto completoHassani, Sadri. "Riemannian Geometry". En Mathematical Physics, 1143–77. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01195-0_37.
Texto completoActas de conferencias sobre el tema "Riemannian and barycentric geometry"
Moran, William, Stephen D. Howard, Douglas Cochran y Sofia Suvorova. "Sensor management via riemannian geometry". En 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2012. http://dx.doi.org/10.1109/allerton.2012.6483240.
Texto completoHadwiger, Markus, Thomas Theußl y Peter Rautek. "Riemannian Geometry for Scientific Visualization". En SA '22: SIGGRAPH Asia 2022. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550495.3558227.
Texto completoGMIRA, B. y L. VERSTRAELEN. "A CURVATURE INEQUALITY FOR RIEMANNIAN SUBMANIFOLDS IN A SEMI–RIEMANNIAN SPACE FORM". En Geometry and Topology of Submanifolds IX. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812817976_0016.
Texto completoLenz, Reiner, Rika Mochizuki y Jinhui Chao. "Iwasawa Decomposition and Computational Riemannian Geometry". En 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.1086.
Texto completoBejancu, Aurel. "Sub-Riemannian geometry and nonholonomic mechanics". En ALEXANDRU MYLLER MATHEMATICAL SEMINAR CENTENNIAL CONFERENCE. AIP, 2011. http://dx.doi.org/10.1063/1.3546072.
Texto completoChen, Guohua. "Digital Riemannian Geometry and Its Application". En International Conference on Advances in Computer Science and Engineering. Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/cse.2013.63.
Texto completoBarachant, Alexandre, Stphane Bon, Marco Congedo y Christian Jutten. "Common Spatial Pattern revisited by Riemannian geometry". En 2010 IEEE 12th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2010. http://dx.doi.org/10.1109/mmsp.2010.5662067.
Texto completoZeestraten, Martijn J. A., Ioannis Havoutis, Sylvain Calinon y Darwin G. Caldwell. "Learning task-space synergies using Riemannian geometry". En 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017. http://dx.doi.org/10.1109/iros.2017.8202140.
Texto completoShao, Hang, Abhishek Kumar y P. Thomas Fletcher. "The Riemannian Geometry of Deep Generative Models". En 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2018. http://dx.doi.org/10.1109/cvprw.2018.00071.
Texto completoGordina, Maria. "Riemannian geometry of Diff(S1)/S1 revisited". En Proceedings of a Satellite Conference of ICM 2006. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812791559_0002.
Texto completo