Gotowe bibliografie tematyczne / Invariant method

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Gotowa bibliografia na temat „Invariant method”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Invariant method"

Yu, Tong Lan, Xiao Hua Yang, Cai Chen, and Jie Liu. "Method of Detecting Unary Polynomial Inequality Likely Invariant." Applied Mechanics and Materials 373-375 (August 2013): 1894–99. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1894.

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Many Studies has carried on the technology of detecting invariants, for example, Daikon can detect most of invariant by presetting some types of them. But unary polynomial inequality likely invariants are rarely discovered by traditional tools. An effective method to detect unary polynomial inequality likely invariant was proposed in this paper. Through analyzing the property of value ranges of unary polynomial inequality likely invariants, the algorithm set the threshold value and calculates neighbor distances to determine the form of invariants. Finally, experimental results are given to dem

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Zaitsev, P. L. "On Religious Invariant Y. Balakina: Comments From Reviewer." Herald of Omsk University. Series: Historical studies, no. 1 (2017): 15–17. http://dx.doi.org/10.24147/2312-1300.2017.1.15-17.

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The article analyzes the work of a famous religious studies Omsk Y. Balakina “Invariants of religious consciousness. From the history of the study. The problem of the method”. We pose the problem of religious invariants as invariant limit. Finds its explanation us gesture invariant and invariant words in Y. Balakina. It demonstrates heuristic opportunity to terminology mapping the concepts of “invariant religious” and “philosophical invariant”.

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Lai, Yi Qiang. "Rotation Moment Invariant Feature Extraction Techniques for Image Matching." Applied Mechanics and Materials 721 (December 2014): 775–78. http://dx.doi.org/10.4028/www.scientific.net/amm.721.775.

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In recently years, extracting images invariance features are gaining more attention in image matching field. Various types of methods have been used to match image successfully in a number of applications. But in mostly literatures, the rotation moment invariant properties of these invariants have not been studied widely. In this paper, we present a novel method based on Polar Harmonic Transforms (PHTs) which is consisted of a set of orthogonal projection bases to extract rotation moment invariant features. The experimental results show that the kernel computation of PHTs is simple and image f

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Fieker, Claus, and Jürgen Klüners. "Computation of Galois groups of rational polynomials." LMS Journal of Computation and Mathematics 17, no. 1 (2014): 141–58. http://dx.doi.org/10.1112/s1461157013000302.

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AbstractComputational Galois theory, in particular the problem of computing the Galois group of a given polynomial, is a very old problem. Currently, the best algorithmic solution is Stauduhar’s method. Computationally, one of the key challenges in the application of Stauduhar’s method is to find, for a given pair of groups $H<G$, a $G$-relative $H$-invariant, that is a multivariate polynomial $F$ that is $H$-invariant, but not $G$-invariant. While generic, theoretical methods are known to find such $F$, in general they yield impractical answers. We give a general method for computing invar

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Ohtsuki, Tomotada. "Invariants of 3-manifolds derived from universal invariants of framed links." Mathematical Proceedings of the Cambridge Philosophical Society 117, no. 2 (1995): 259–73. http://dx.doi.org/10.1017/s0305004100073102.

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Reshetikhin and Turaev [10] gave a method to construct a topological invariant of compact oriented 3-manifolds from a ribbon Hopf algebra (e.g. a quantum group Uq(sl2)) using finite-dimensional representations of it. In this paper we give another independent method to construct a topological invariant of compact oriented 3-manifolds from a ribbon Hopf algebra via universal invariants of framed links without using representations of the algebra. For Uq(sl2) these two methods give different invariants of 3-manifolds.

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Jinle, Zeng, Zou Yirong, Du Dong, Chang Baohua, and Pan Jiluan. "Research on a visual weld detection method based on invariant moment features." Industrial Robot: An International Journal 42, no. 2 (2015): 117–28. http://dx.doi.org/10.1108/ir-06-2014-0358.

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Purpose – This paper aims to develop a feasible visual weld detection method to solve the problems in multi-layer welding detection (e.g. cover pass welding detection) for seam tracking and non-destructive testing. It seeks for an adaptive and accurate way to determine the edge between the seam and the base metal in the grayscale image of weld automatically. This paper tries to contribute to next-generation real-time robotic welding systems for multi-layer welding. Design/methodology/approach – This paper opted for invariant moments to characterize the seam and the base metal for classificatio

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ZHANG, R. B., and H. C. LEE. "LICKORISH INVARIANT AND QUANTUM OSP(1|2)." Modern Physics Letters A 11, no. 29 (1996): 2397–406. http://dx.doi.org/10.1142/s0217732396002381.

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Lickorish’s method for constructing topological invariants of three-manifolds is generalized to the quantum supergroup setting. An invariant is obtained by applying this method to the Kauffman polynomial arising from the vector representation of U q( osp (1|2)). A transparent proof is also given showing that this invariant is equivalent to the U q( osp (1|2)) invariant obtained in an earlier publication.

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Kim, Joonoh, and Mihaw Shin. "An invariant of virtual knots using flat virtual knot diagrams." Journal of Knot Theory and Its Ramifications 27, no. 04 (2018): 1850024. http://dx.doi.org/10.1142/s0218216518500244.

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In this paper, we describe a method of making an invariant of virtual knots that is defined in terms of an integer labeling of the flat virtual knot diagram. We give an invariant of flat virtual knots using the invariant above. Moreover, we derive a relation of two invariants.

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ADAMS, COLIN, RACHEL HUDSON, RALPH MORRISON, et al. "The spiral index of knots." Mathematical Proceedings of the Cambridge Philosophical Society 149, no. 2 (2010): 297–315. http://dx.doi.org/10.1017/s0305004110000241.

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AbstractIn this paper, we introduce two new invariants that are closely related to Milnor's curvature-torsion invariant. The first, a particularly natural invariant called the spiral index of a knot, captures the number of local maxima in a knot projection that is free of inflection points. This invariant is sandwiched between the bridge and braid index of a knot, and captures more subtle properties. The second invariant, the projective superbridge index, provides a method of counting the greatest number of local maxima that occur in a given projection. In addition to investigating the relatio

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HAMACHI, KENTARO. "QUANTUM MOMENT MAPS AND INVARIANTS FOR G-INVARIANT STAR PRODUCTS." Reviews in Mathematical Physics 14, no. 06 (2002): 601–21. http://dx.doi.org/10.1142/s0129055x02001314.

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We study a quantum moment map and propose an invariant for G-invariant star products on a G-transitive symplectic manifold. We start by describing a new method to construct a quantum moment map for G-invariant star products of Fedosov type. We use it to obtain an invariant that is invariant under G-equivalence. In the last section we give two simple examples of such invariants, which involve non-classical terms and provide new insights into the classification of G-invariant star products.

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Rozprawy doktorskie na temat "Invariant method"

Thakur, Gunjan Singh. "A Newton Method For The Continuation Of Invariant Tori." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/43918.

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This thesis proposes a novel method for locating a p-dimensional invariant torus of an n-dimensional map. A set of non-linear equations is formulated and solved using the Newton-Raphson scheme. The method requires a set of sampled points on a guess invariant torus. An interpolant is passed through these points to compute the pointwise shift on the invariant torus, which is used to formulate the equation of invariance for the torus under the given map. The principal application of this method is to locate invariant tori of continuous systems. These tori occur for continuous dynamical systems ha

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Tang, Shouchun (Terry), and University of Lethbridge Faculty of Arts and Science. "A rapid method for approximating invariant manifolds of differential equations." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2006, 2006. http://hdl.handle.net/10133/356.

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The Intrinsic Low-Dimensional Manifold (ILDM) has been adopted as an approximation to the slow manifold representing the long-term evolution of a non-linear chemical system. The computation of the slow manifold simplifies the model without sacrificing accuracy because the trajectories are rapidly attracted to it. The ILDM has been shown to be a highly accurate approximation to the manifold when the curvature of the manifold is not too large. An efficient method of calculating an approximation to the slow manifold which may be equivalent to the ILDM is presented. This method, called Functional

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Byers, R., C. He, and V. Mehrmann. "The Matrix Sign Function Method and the Computation of Invariant Subspaces." Universitätsbibliothek Chemnitz, 1998. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-199800619.

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A perturbation analysis shows that if a numerically stable procedure is used to compute the matrix sign function, then it is competitive with conventional methods for computing invariant subspaces. Stability analysis of the Newton iteration improves an earlier result of Byers and confirms that ill-conditioned iterates may cause numerical instability. Numerical examples demonstrate the theoretical results.

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Guan, Yu. "Covariate-invariant gait recognition using random subspace method and its extensions." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/67147/.

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Compared with other biometric traits like fingerprint or iris, the most significant advantage of gait is that it can be used for remote human identification without cooperation from the subjects. The technology of gait recognition may play an important role in crime prevention, law enforcement, etc. Yet the performance of automatic gait recognition may be affected by covariate factors such as speed, carrying condition, elapsed time, shoe, walking surface, clothing, camera viewpoint, video quality, etc. In this thesis, we propose a random subspace method (RSM) based classifier ensemble framewor

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Lydiate, Joseph. "A novel method of biosensing using a temperature invariant microring resonator." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/a-novel-method-of-biosensing-using-a-temperature-invariant-microring-resonator(3e692f11-d045-4e75-a7c4-88a7df830186).html.

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In this thesis, simulations of two novel features of a serially cascaded micro-ring resonator are presented. The thesis firstly describes the simulation of a novel, silicon on insulator (SOI) method to determine the refractive index change of a covering analyte by the extraction of the refractive index change information in the time domain. Secondly a novel arrangement of the serially cascaded micro-rings has the effect of producing a null instead of a peak in the Vernier enhanced resonant spectrum. The null feature, as well as the enhanced sensitivity of the sensor, allows the sensor to be us

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Yang, Juan. "Invariant measures for stochastic partial differential equations and splitting-up method for stochastic flows." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/invariant-measures-for-stochastic-partial-differential-equations-and-splittingup-method-for-stochastic-flows(36b3d40a-5094-4364-8732-12324ef3a72f).html.

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This thesis consists of two parts. We start with some background theory that will be used throughout the thesis. Then, in the first part, we investigate the existence and uniqueness of the solution of the stochastic partial differential equation with two reflecting walls. Then we establish the existence and uniqueness of invariant measure of this equation under some reasonable conditions. In the second part, we study the splitting-up method for approximating the solu- tions of stochastic Stokes equations using resolvent method.

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Lupi, Giulia. "Kernel approximations in Lie groups and application to group-invariant CNN." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23905/.

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In questa tesi viene studiata un'equazione di convezione-diffusione-erosione introdotta in problemi di image processing. In particolare, si cercano approssimazioni dei nuclei per l'equazione di diffusione e per l'equazione di erosione. Per fare tali approssimazioni si é utilizzato il metodo della parametrice per l'equazione di diffusione, mentre il nucleo dell'equazione di erosione viene trovato a partire dal nucleo dell'equazione di diffusione attraverso la trasformata di Cramér-Fuorier.

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Reid, Cynthia 1958. "A class of solutions in non-homogeneous fluid dynamics obtained by the Riemann-invariant method /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66007.

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Segura, ugalde Esteban. "Computation of invariant pairs and matrix solvents." Thesis, Limoges, 2015. http://www.theses.fr/2015LIMO0045/document.

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Cette thèse porte sur certains aspects symboliques-numériques du problème des paires invariantes pour les polynômes de matrices. Les paires invariantes généralisent la définition de valeur propre / vecteur propre et correspondent à la notion de sous-espaces invariants pour le cas nonlinéaire. Elles trouvent leurs applications dans le calcul numérique de plusieurs valeurs propres d’un polynôme de matrices; elles présentent aussi un intérêt dans le contexte des systèmes différentiels. En utilisant une approche basée sur les intégrales de contour, nous déterminons des expressions du nombre de con

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Kukreja, Sunil L. "Method for estimation of continuous-time models of linear time-invariant systems via the bilinear transform." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29861.pdf.

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Książki na temat "Invariant method"

Haro, Àlex, Marta Canadell, Jordi-Lluis Figueras, Alejandro Luque, and Josep Maria Mondelo. The Parameterization Method for Invariant Manifolds. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29662-3.

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Valcartier, Canada Defence Research Establishment. Acceleration-Invariant Approximation Method For Recursive Digital Filters. s.n, 1985.

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Ibragimov, Nail H. Selected works: Equivalence groups and invariants of differential equations. Extension of Euler's method to parabolic equations. Invariant and formal Lagrangians. Conservation law. ALGA Publications, 2009.

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Heitmueller, Axel. A note on decompositions in fixed effects models in the presence of time-invariant characteristics. IZA, 2005.

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Geerts, A. H. W. A new method to determine the infinite zero structure of a linear time-invariant system. Eindhoven Univ. of Technology, 1988.

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Hermans, F. J. J. Invariant methods for image recognition. UMIST, 1993.

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White, Neil L., ed. Invariant Methods in Discrete and Computational Geometry. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8402-9.

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Ann, McCabe, and Smith-Resnick Catherine, eds. Milan family therapy: Variant and invariant methods. J. Aronson, 1990.

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Demmel, James Weldon. Three methods for refining estimates of invariant subspaces. Courant Institute of Mathematical Sciences, New York University, 1985.

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1944-, Morozov Albert D., ed. Invariant sets for Windows. World Scientific, 1999.

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Części książek na temat "Invariant method"

Mumford, David, John Fogarty, and Frances Kirwan. "The method of covariants — 2nd construction." In Geometric Invariant Theory. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-57916-5_8.

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Boockmann, Jan H., and Gerald Lüttgen. "Comprehending Object State via Dynamic Class Invariant Learning." In Fundamental Approaches to Software Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57259-3_7.

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AbstractMaintaining software is cumbersome when method argument constraints are undocumented. To reveal them, previous work learned preconditions from exemplary valid and invalid method arguments. In practice, it would be highly beneficial to know class invariants, too, because functionality added during software maintenance must not break them. Even more so than method preconditions, class invariants are rarely documented and often cannot completely be inferred automatically, especially for objects exhibiting complex state such as dynamic data structures.This paper presents a novel dynamic ap

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Bureš, Tomáš, Ilias Gerostathopoulos, Petr Hnetynka, Jaroslav Keznikl, Michal Kit, and Frantisek Plasil. "The Invariant Refinement Method." In Software Engineering for Collective Autonomic Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16310-9_12.

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N. Gorban, Alexander, and Ilya V. Karlin. "Method of Invariant Grids." In Lecture Notes in Physics. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31531-5_10.

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Bao, Jialu, Nitesh Trivedi, Drashti Pathak, Justin Hsu, and Subhajit Roy. "Data-Driven Invariant Learning for Probabilistic Programs." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13185-1_3.

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AbstractMorgan and McIver’s weakest pre-expectation framework is one of the most well-established methods for deductive verification of probabilistic programs. Roughly, the idea is to generalize binary state assertions to real-valued expectations, which can measure expected values of probabilistic program quantities. While loop-free programs can be analyzed by mechanically transforming expectations, verifying loops usually requires finding an invariant expectation, a difficult task.We propose a new view of invariant expectation synthesis as a regression problem: given an input state, predict t

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Bureš, Tomáš, Ilias Gerostathopoulos, Jaroslav Keznikl, František Plášil, and Petr Tůma. "Formalization of Invariant Patterns for the Invariant Refinement Method." In Software, Services, and Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15545-6_34.

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Hyers, Donald H., George Isac, and Themistocles M. Rassias. "Generalizations. The Method of Invariant Means." In Stability of Functional Equations in Several Variables. Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1790-9_5.

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Memmi, G., and J. Vautherin. "Analysing Nets by the Invariant Method." In Petri Nets: Central Models and Their Properties. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-540-47919-2_11.

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Memmi, G., and J. Vautherin. "Analysing Nets by the Invariant Method." In High-level Petri Nets. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84524-6_8.

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Deb, Anish, Srimanti Roychoudhury, and Gautam Sarkar. "Time Invariant System Analysis: Method of Convolution." In Analysis and Identification of Time-Invariant Systems, Time-Varying Systems, and Multi-Delay Systems using Orthogonal Hybrid Functions. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26684-8_11.

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Streszczenia konferencji na temat "Invariant method"

Yi, Shijia, Haining Yang, Yutong Tian, Na Li, and Yujian Cheng. "Wideband Adaptive Null-Extended and Frequency-Invariant Beamforming Method." In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI). IEEE, 2024. http://dx.doi.org/10.1109/ap-s/inc-usnc-ursi52054.2024.10686768.

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Bao, Jialu, Nitesh Trivedi, Drashti Pathak, Justin Hsu, and Subhajit Roy. "Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract)." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/712.

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The weakest pre-expectation framework from Morgan and McIver for deductive verification of probabilistic programs generalizes binary state assertions to real-valued expectations to measure expected values of expressions over probabilistic program variables. While loop-free programs can be analyzed by mechanically transforming expectations, verifying programs with loops requires finding an invariant expectation. We view invariant expectation synthesis as a regression problem: given an input state, predict the average value of the post-expectation in the output distribution. With this perspectiv

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Zheng, Ji, Zhang Jianqing, and Zhan Zongqian. "On Invariant-based Object's Locating Method." In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4347568.

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Xu, Xiaoyan, and Xiaoming Liu. "A method for shadow invariant image." In 2015 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2015. http://dx.doi.org/10.1109/cyber.2015.7287979.

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Sheng, Y., and H. H. Arsenault. "Invariant recognition using circular Fourier radial-mellin descriptors." In OSA Annual Meeting. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.the3.

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An invariant moment method is used to achieve image recognition and classification that is invariant under changes of position, rotation, contrast, and scale. The generalized image descriptors are calculated from circular Fourier radial Mellin transforms, which are radial moments of circular harmonic functions. The radial moments are redundant, and only one or a few orders need be used. The selection of the harmonic order depends on the geometrical properties of the image. The normalization procedure used to obtain scale and contrast invariance yields a weighting effect on the invariant featur

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Schils, George F., and Donald W. Sweeney. "Iterative Synthesis of Distortion Invariant Optical Correlation Filters." In Signal Recovery and Synthesis. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/srs.1986.wb3.

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An iterative technique can be used to synthesize pattern recognition filters that are invariant to image distortions. These distortions might be position (location), rotation, scale, and perspective. The image to detect may also appear at different intensities. In this paper, we present an iterative technique based on spectral iteration in angular Fourier space for the synthesis of rotationally, translationally, and intensity invariant optical pattern recognition filters. The iterative method allows full image information to be retained while simultaneously obtaining invariance to rotation and

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Gurbuz, Emre, Guzin Ulutas, and Mustafa Ulutas. "Rotation invariant copy move forgery detection method." In 2015 9th International Conference on Electrical and Electronics Engineering (ELECO). IEEE, 2015. http://dx.doi.org/10.1109/eleco.2015.7394451.

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Sanjo, Yuki, and Takashi Toriu. "A Method for Affine Invariant Image Smoothing." In 2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2013. http://dx.doi.org/10.1109/iih-msp.2013.69.

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Yu, Guoshen, and Jean-Michel Morel. "A fully affine invariant image comparison method." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4959904.

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Sun, Zhiming, and James P. Corones. "Invariant imbedding method and inverse source problems." In San Diego '92, edited by Michael A. Fiddy. SPIE, 1992. http://dx.doi.org/10.1117/12.139025.

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Raporty organizacyjne na temat "Invariant method"

Sambasivan, Shiv Kumar, and Mark A. Christon. An Invariant-Preserving ALE Method for Solids under Extreme Conditions. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1046528.

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Tanner, David J. Energy Calibration of the BaBar EMC Using the Pi0 Invariant Mass Method. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/901853.

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Zyphur, Michael. Measurement Invariance: From Basic to Advanced Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/uaaq9qmn7s1jp469.

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This seminar explores classic and cutting-edge methods for evaluating measurement invariance across groups and time, including the special case of many items and/or groups (100 or more). This seminar offers comprehensive coverage of the basic logic and meaning of measurement invariance, with worked examples of classic, partial, approximate, multilevel, and automated alignment methods using real-world data for multiple groups or over time. The newest features of Mplus are used to illustrate the methods. An official Instats certificate of completion is provided at the conclusion of the seminar,

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Li, Hang, Hosam Hegazy, Xiaorui Xue, Jiansong Zhang, and Yunfeng Chen. BIM Standards for Roads and Related Transportation Assets. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317641.

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With the industry foundation classes (IFC) building information modeling (BIM) standard (ISO 16739) being adopted by AASHTO as the national standard for modeling bridge and road infrastructure projects, there comes a great opportunity to upgrade the INDOT model development standard of roads and related assets to 2D+3D BIM. This upgrade complies with the national standard and creates a solid foundation for preserving accurate asset information for lifecycle data needs. This study reviewed the current modeling standards for drainage and pavement at different state DOTs and investigated the inter

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Ziegler, Nancy, Nicholas Webb, Adrian Chappell, and Sandra LeGrand. Scale invariance of albedo-based wind friction velocity. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40499.

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Obtaining reliable estimates of aerodynamic roughness is necessary to interpret and accurately predict aeolian sediment transport dynamics. However, inherent uncertainties in field measurements and models of surface aerodynamic properties continue to undermine aeolian research, monitoring, and dust modeling. A new relation between aerodynamic shelter and land surface shadow has been established at the wind tunnel scale, enabling the potential for estimates of wind erosion and dust emission to be obtained across scales from albedo data. Here, we compare estimates of wind friction velocity (u*)

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Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, 2021. http://dx.doi.org/10.46337/210930.

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Disruptive socio-natural transformations and climatic change, where system invariants and symmetries break down, defy the traditional complexity paradigms such as machine learning and artificial intelligence. In order to overcome this, we introduced non-ergodic Information Physics, bringing physical meaning to inferential metrics, and a coevolving flexibility to the metrics of information transfer, resulting in new methods for causal discovery and attribution. With this in hand, we develop novel dynamic models and analysis algorithms natively built for quantum information technological platfor

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