Literatura científica selecionada sobre o tema "Shape statistics"
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Artigos de revistas sobre o assunto "Shape statistics"
Small, Christopher G. "Statistics of shape". Wiley Interdisciplinary Reviews: Computational Statistics 3, n.º 5 (10 de junho de 2011): 428–33. http://dx.doi.org/10.1002/wics.173.
Texto completo da fonteDumoulin, Serge O., e Robert F. Hess. "Modulation of V1 Activity by Shape: Image-Statistics or Shape-Based Perception?" Journal of Neurophysiology 95, n.º 6 (junho de 2006): 3654–64. http://dx.doi.org/10.1152/jn.01156.2005.
Texto completo da fonteWilder, J., J. Feldman e M. Singh. "Shape classification based on natural shape statistics". Journal of Vision 8, n.º 6 (29 de março de 2010): 717. http://dx.doi.org/10.1167/8.6.717.
Texto completo da fonteWilder, John, Jacob Feldman e Manish Singh. "Superordinate shape classification using natural shape statistics". Cognition 119, n.º 3 (junho de 2011): 325–40. http://dx.doi.org/10.1016/j.cognition.2011.01.009.
Texto completo da fonteWheeler, David L. "The Statistics of Shape". Math Horizons 3, n.º 3 (fevereiro de 1996): 26–28. http://dx.doi.org/10.1080/10724117.1996.11974966.
Texto completo da fonteChindelevitch, Leonid, Maryam Hayati, Art F. Y. Poon e Caroline Colijn. "Network science inspires novel tree shape statistics". PLOS ONE 16, n.º 12 (23 de dezembro de 2021): e0259877. http://dx.doi.org/10.1371/journal.pone.0259877.
Texto completo da fonteSahni, Varun. "Analysis of Large Scale Structure using Percolation, Genus and Shape Statistics". Symposium - International Astronomical Union 183 (1999): 210–20. http://dx.doi.org/10.1017/s0074180900132541.
Texto completo da fonteMicheas, Athanasios C., e Dipak K. Dey. "Assessing shape differences in populations of shapes using the complex watson shape distribution". Journal of Applied Statistics 32, n.º 2 (março de 2005): 105–16. http://dx.doi.org/10.1080/02664760500054137.
Texto completo da fonteLuo, Shan, e Ethan Vishniac. "Three-dimensional shape statistics: Methodology". Astrophysical Journal Supplement Series 96 (fevereiro de 1995): 429. http://dx.doi.org/10.1086/192126.
Texto completo da fonteMardia, K. V. "Directional statistics and shape analysis". Journal of Applied Statistics 26, n.º 8 (dezembro de 1999): 949–57. http://dx.doi.org/10.1080/02664769921954.
Texto completo da fonteTeses / dissertações sobre o assunto "Shape statistics"
Tola, Omer Onder. "Generalized Beam Angle Statistics For Shape Description". Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605412/index.pdf.
Texto completo da fonteChen, Yining. "Aspects of shape-constrained estimation in statistics". Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648300.
Texto completo da fonteGao, Zhikun. "Automatic Shape-Constrained Non-Parametric Regression". Thesis, The George Washington University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13813788.
Texto completo da fonteWe propose an automatic shape-constrained non-parametric estimation methodology in least squares and quantile regression, where the regression function and its shape are simultaneously estimated and identified.
We build the estimation based on the quadratic B-spline expansion with penalization about its first and second derivatives on spline knots in a group manner. By penalizing the positive and negative parts of the introduced group derivatives, the shape of the estimated regression curve is determined according to the sparsity of the parameters considered. In the quadratic B-spline expansion, the parameters referring to the shape can be written through some simple linear combinations of the basis coefficients, which makes it convenient to impose penalization for shape identification is efficient in computation and is flexible in various shape identification. In both least squares and quantile regression scenarios, under some regularity conditions, we show that the proposed method can identify the correct shape of the regression function with probability approaching one, and the resulting non-parametric estimator can achieve the optimal convergence rate. Simulation study shows that the proposed method gives more stable curve estimation and more accurate curve shape classification than the conventional unconstrained B-spline estimator in both mean and quantile regressions, and it is competitive in terms of the estimation accuracy to the artificial shape-constrained estimator built by knowing prior information of the curve shape. In addition, across multiple quantile levels, the proposed estimator shows less crossing between the estimated quantile curves than the unpenalized counterpart.
Er, Fikret. "Robust methods in statistical shape analysis". Thesis, University of Leeds, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342394.
Texto completo da fonteButt, R. "Optimal shape design for differential inequalities". Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233771.
Texto completo da fonteStrait, Justin. "Elastic Statistical Shape Analysis with Landmark Constraints". The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1530966023478484.
Texto completo da fonteWalder, Alistair Neil. "Statistics of shape and size for landmark data". Thesis, University of Leeds, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303425.
Texto completo da fontePrieto, Bernal Juan Carlos. "Multiparametric organ modeling for shape statistics and simulation procedures". Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0010/document.
Texto completo da fonteGeometric modeling has been one of the most researched areas in the medical domain. Today, there is not a well established methodology to model the shape of an organ. There are many approaches available and each one of them have different strengths and weaknesses. Most state of the art methods to model shape use surface information only. There is an increasing need for techniques to support volumetric information. Besides shape characterization, a technique to differentiate objects by shape is needed. This requires computing statistics on shape. The current challenge of research in life sciences is to create models to represent the surface, the interior of an object, and give statistical differences based on shape. In this work, we use a technique for shape modeling that is able to model surface and internal features, and is suited to compute shape statistics. Using this technique (s-rep), a procedure to model the human cerebral cortex is proposed. This novel representation offers new possibilities to analyze cortical lesions and compute shape statistics on the cortex. The second part of this work proposes a methodology to parameterize the interior of an object. The method is flexible and can enhance the visual aspect or the description of physical properties of an object. The geometric modeling enhanced with physical parameters is used to produce simulated magnetic resonance images. This image simulation approach is validated by analyzing the behavior and performance of classic segmentation algorithms for real images
Terriberry, Timothy B. Gerig Guido. "Continuous medial models in two-sample statistics of shape". Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,579.
Texto completo da fonteTitle from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.
Bhattacharya, Abhishek. "Nonparametric Statistics on Manifolds With Applications to Shape Spaces". Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194508.
Texto completo da fonteLivros sobre o assunto "Shape statistics"
Jo, Russell Susan, ed. The shape of the data: Statistics. Palo Alto, CA: D. Seymour, 1995.
Encontre o texto completo da fonteB, Corwin Rebecca, Technical Education Research Centers (U.S.), Lesley College e Consortium for Mathematics and Its Applications (U.S.), eds. Statistics: The shape of the data. Palo Alto, CA: Dale Seymour Publications, 1989.
Encontre o texto completo da fontePublications, Dale Seymour, ed. Investigations at home: The shape of data: statistics. Menlo Park, CA: Dale Seymour, 1998.
Encontre o texto completo da fonteDryden, I. L., e J. T. Kent. Geometry driven statistics. Chichester, West Sussex: John Wiley & Sons, Inc., 2015.
Encontre o texto completo da fonteSmoothey, Marion. Statistics. New York: Marshall Cavendish, 1993.
Encontre o texto completo da fonteAït-Sahalia, Yacine. Nonparametric option pricing under shape restrictions. Cambridge, MA: National Bureau of Economic Research, 2002.
Encontre o texto completo da fonteJones, Arthur F. The changing shape of the nation's income distribution, 1947-1998. [Washington, DC: U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2000.
Encontre o texto completo da fonteJones, Arthur F. The changing shape of the nation's income distribution, 1947-1998. [Washington, DC: U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2000.
Encontre o texto completo da fonteA, Gill C., Mardia K. V e Leeds Statistics Research Workshop (15th : 1995 : Leeds, England), eds. Proceedings in current issues in statistical shape analysis: International conference held in Leeds, UK, 5-7 April 1995, incorporating the 15th Leeds Statistics Research Workshop : co-sponsored by the Centre of Medical Imaging Research (CoMir). Leeds: Leeds University Press, 1995.
Encontre o texto completo da fonteGraham, Alan T. Calculator maths. Fineshade: A&B Books, 1998.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Shape statistics"
Charpiat, Guillaume, Olivier Faugeras, Renaud Keriven e Pierre Maurel. "Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics". In Statistics and Analysis of Shapes, 363–95. Boston, MA: Birkhäuser Boston, 2006. http://dx.doi.org/10.1007/0-8176-4481-4_15.
Texto completo da fonteScheaffer, Richard L., Ann Watkins, Mrudulla Gnanadesikan e Jeffrey A. Witmer. "The Shape of the Data". In Activity-Based Statistics, 9–11. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-3843-8_3.
Texto completo da fonteKinoshita, K., e S. I. Resnick. "Multivariate Records and Shape". In Lecture Notes in Statistics, 222–33. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3634-4_19.
Texto completo da fonteMardia, K. V. "Shape statistics and image analysis". In Recent Developments in Computer Vision, 297–306. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-60793-5_84.
Texto completo da fonteBelongie, Serge, Greg Mori e Jitendra Malik. "Matching with Shape Contexts". In Statistics and Analysis of Shapes, 81–105. Boston, MA: Birkhäuser Boston, 2006. http://dx.doi.org/10.1007/0-8176-4481-4_4.
Texto completo da fonteKent, John T. "An Investigation of Projective Shape Space". In Contributions to Statistics, 119–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11149-0_8.
Texto completo da fonteLerche, Hans Rudolf. "Exact results about the shape". In Lecture Notes in Statistics, 110–29. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4615-6569-7_10.
Texto completo da fonteArnold, Pip, e Maxine Pfannkuch. "The Language of Shape". In The Teaching and Learning of Statistics, 51–61. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23470-0_5.
Texto completo da fonteKagraoka, Yusho, e Zakaria Moussa. "The Changing Shape of Sovereign Default Intensities". In Contributions to Statistics, 203–16. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26036-1_14.
Texto completo da fonteDrennan, Robert D. "The Shape, or Distribution, of a Batch". In Statistics for Archaeologists, 53–64. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-0165-1_5.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Shape statistics"
Köhler, Alexander, Ashkan Rigi e Michael Breuß. "Fast Shape Classification Using Kolmogorov-Smirnov Statistics". In WSCG'2022 - 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2022. Západočeská univerzita, 2022. http://dx.doi.org/10.24132/csrn.3201.22.
Texto completo da fonteJiang, Bo, Liqiang Guo e Fubing Chen. "Shape from focus using statistics methods". In 2017 International Smart Cities Conference (ISC2). IEEE, 2017. http://dx.doi.org/10.1109/isc2.2017.8090848.
Texto completo da fonteCharpiat, Guillaume, Olivier Faugeras e Renaud Keriven. "Shape Statistics for Image Segmentation with Prior". In 2007 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/cvpr.2007.383009.
Texto completo da fontePrati, Andrea, Simone Calderara e Rita Cucchiara. "Using circular statistics for trajectory shape analysis". In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587837.
Texto completo da fonteYan, Pingkun, Sheng Xu, Baris Turkbey e Jochen Kruecker. "Segmenting TRUS video sequences using local shape statistics". In SPIE Medical Imaging. SPIE, 2010. http://dx.doi.org/10.1117/12.844324.
Texto completo da fonteHayes, David A., Simone Ferlin e Michael Welzl. "Practical passive shared bottleneck detection using shape summary statistics". In 2014 IEEE 39th Conference on Local Computer Networks (LCN). IEEE, 2014. http://dx.doi.org/10.1109/lcn.2014.6925767.
Texto completo da fonteZhang, Wuxia, Yuan Yuan, Xuelong Li e Pingkun Yan. "Learning shape statistics for hierarchical 3D medical image segmentation". In 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6116068.
Texto completo da fonteBoudaoud, S., H. Rix e O. Meste. "Providing sample shape statistics with FCA and ISA approaches". In 2005 Microwave Electronics: Measurements, Identification, Applications. IEEE, 2005. http://dx.doi.org/10.1109/ssp.2005.1628636.
Texto completo da fonteMostapha, Mahmoud, Jared Vicory, Martin Styner e Stephen Pizer. "A segmentation editing framework based on shape change statistics". In SPIE Medical Imaging, editado por Martin A. Styner e Elsa D. Angelini. SPIE, 2017. http://dx.doi.org/10.1117/12.2250023.
Texto completo da fonteFuchs, Matthias, e Samuel Gerber. "Variational shape detection in microscope images based on joint shape and image feature statistics". In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4563012.
Texto completo da fonteRelatórios de organizações sobre o assunto "Shape statistics"
Wurtz, R., e A. Kaplan. Statistical and Machine-Learning Classifier Framework to Improve Pulse Shape Discrimination System Design. Office of Scientific and Technical Information (OSTI), outubro de 2015. http://dx.doi.org/10.2172/1236750.
Texto completo da fonteGoldberg, Linda S., e Oliver Hannaoui. Drivers of Dollar Share in Foreign Exchange Reserves. Federal Reserve Bank of New York, março de 2024. http://dx.doi.org/10.59576/sr.1087.
Texto completo da fonteScholl, Lynn, Daniel Oviedo e Orlando Sabogal-Cardona. Disrupting Personal (In)Security? The Role of Ride-Hailing Service Features, Commute Strategies, and Gender in Mexico City. Inter-American Development Bank, dezembro de 2021. http://dx.doi.org/10.18235/0003812.
Texto completo da fonteSrivastava, Anuj. A Statistical Theory for Shape Analysis of Curves and Surfaces with Applications in Image Analysis, Biometrics, Bioinformatics and Medical Diagnostics. Fort Belvoir, VA: Defense Technical Information Center, maio de 2010. http://dx.doi.org/10.21236/ada532601.
Texto completo da fonteRonconi, Lucas, e Enrique Kawamura. Firms' Investment and Savings in Latin America: Stylized Facts from the Enterprise Survey. Inter-American Development Bank, dezembro de 2015. http://dx.doi.org/10.18235/0011708.
Texto completo da fonteChelala, Santiago, e Gustavo Beliz. The DNA of Regional Integration: Latin American's Views on High Quality Convergence Innovation Equality and Care for the Environment. Inter-American Development Bank, outubro de 2016. http://dx.doi.org/10.18235/0010662.
Texto completo da fonteOutes Velarde, Juliana, Tanyah Hameed Khan, Mara Airoldi, Eleanor Carter, Michael Gibson e James Ruairi Macdonald. INDIGO Impact Bond Insights. Government Outcomes Lab, janeiro de 2022. http://dx.doi.org/10.35489/bsg-golab-ri_2022/001.
Texto completo da fonteNobile, F., Q. Ayoul-Guilmard, S. Ganesh, M. Nuñez, A. Kodakkal, C. Soriano e R. Rossi. D6.5 Report on stochastic optimisation for wind engineering. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.04.
Texto completo da fonteZahniser, Steven, William Johnson e Constanza Valdes. Changes in U.S. agricultural imports from Latin America and the Caribbean. Washington, DC: Economic Research Service, U.S. Department of Agriculture, julho de 2023. http://dx.doi.org/10.32747/2023.8122124.ers.
Texto completo da fonteDomínguez-Díaz, Rubén, e Samuel Hurtado. Green energy transition and vulnerability to external shocks. Madrid: Banco de España, agosto de 2024. http://dx.doi.org/10.53479/37354.
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