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Academic literature on the topic 'Regularisation'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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Journal articles on the topic "Regularisation"

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Smit, Monika, Moira Galloway, Mina Vijkhuijs, and Mariska Kromhout. "The ‘Pardon Regulation’: Implementation and outcome of a regularisation programme in the Netherlands." Migration Letters 13, no. 1 (January 15, 2015): 144–58. http://dx.doi.org/10.33182/ml.v13i1.269.

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Regularisation programmes that are intended to legalise the stay of undocumented migrants may provoke public resistance and heated political debates. Governments nevertheless go ahead with such programmes. In the Netherlands, a regularisation programme to settle the legacy of an old Aliens Law, known as the ‘Pardon Regulation’, was implemented in 2007. In this contribution we describe the implementation and outcome of the Pardon Regulation, which led to over 28,000 regularisations. We focus on the question to what extent pitfalls that were experienced in a number of regularisation programmes in other European countries were avoided and intended goals were met.

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Kraler, Albert. "Fixing, Adjusting, Regulating, Protecting Human Rights - The Shifting Uses of Regularisations in the European Union." European Journal of Migration and Law 13, no. 3 (2011): 297–316. http://dx.doi.org/10.1163/157181611x587865.

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AbstractAlmost all Member States in the European Union currently make use, or in the past have made use of some form of regularisation of irregular immigrants, although to greatly varying degrees, in different ways and as a rule only reluctantly. A distinct feature of recent regularisations has been the shift towards a humanitarian justification of regularisation measures. In this context, regularisation has become reframed as an issue of the protection of irregular migrants’ human rights. As a result, regularisation has to some extent also been turned from a political tool in managing migration into an issue of international, European and national human rights law. While a human rights framework indeed offers a powerful rationale and at times compelling reasons why states ought to afford a legal status to irregular migrants, I argue that a human rights based approach must always be complemented by pragmatic considerations, as a human rights based justification of regularisation alone will be insufficient to find adequate responses to the changing presence of irregular migrants in the EU, not all of which can invoke human rights based claims to residence.

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Fife, Paul C., and Xiao-Ping Wang. "Periodic structures in a van der Waals fluid." Proceedings of the Royal Society of Edinburgh: Section A Mathematics 128, no. 2 (1998): 235–50. http://dx.doi.org/10.1017/s0308210500012762.

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A system of partial differential equations modelling a van der Waals fluid or an elastic medium with nonmonotone pressure-density relation is studied. As the system changes type, regularisations are considered. The existence of one-dimensional periodic travelling waves, with prescribed average density in a certain range, average velocity and wavelength, is proved. They exhibit layer structure when the regularisation parameter is small. Similarities with the Cahn–Hilliard equation are explored.

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Liu, Yongshi, Xiaodong Yu, Jianjun Zhao, Changchun Pan, and Kai Sun. "Development of a Robust Data-Driven Soft Sensor for Multivariate Industrial Processes with Non-Gaussian Noise and Outliers." Mathematics 10, no. 20 (October 17, 2022): 3837. http://dx.doi.org/10.3390/math10203837.

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Industrial processes are often nonlinear and multivariate and suffer from non-Gaussian noise and outliers in the process data, which cause significant challenges in data-driven modelling. To address these issues, a robust soft-sensing algorithm that integrates Huber’s M-estimation and adaptive regularisations with multilayer perceptron (MLP) is proposed in this paper. The proposed algorithm, called RAdLASSO-MLP, starts with an initially well-trained MLP for nonlinear data-driven modelling. Subsequently, the residuals of the proposed model are robustified with Huber’s M-estimation to improve the resistance to non-Gaussian noise and outliers. Moreover, a double L1-regularisation mechanism is introduced to minimise redundancies in the input and hidden layers of MLP. In addition, the maximal information coefficient (MIC) index is investigated and used to design the adaptive operator for the L1-regularisation of the input neurons to improve biased estimations with L1-regularisation. Including shrinkage parameters and Huber’s M-estimation parameter, the hyperparameters are determined via grid search and cross-validation. To evaluate the proposed algorithm, simulations were conducted with both an artificial dataset and an industrial dataset from a practical gasoline treatment process. The results indicate that the proposed algorithm is superior in terms of predictive accuracy and robustness to the classic MLP and the regularised soft-sensing approaches LASSO-MLP and dLASSO-MLP.

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Magina, Fredrick Bwire, Alphonce Kyessi, and Wilbard Kombe. "The Urban Land Nexus– Challenges and Opportunities of Regularising Informal Settlements: The Case Studies of Dar es Salaam and Mwanza in Tanzania." JOURNAL OF AFRICAN REAL ESTATE RESEARCH 5, no. 1 (June 1, 2020): 32–54. http://dx.doi.org/10.15641/jarer.v5i1.837.

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Informal settlements in Tanzania accommodate more than 70% of the urban population. Owing to this, the Tanzanian government has undertaken several initiatives to address the growing size and number of informal settlements. One such initiative is regularisation which addresses security of tenure for residents of these settlements. Most of the people living in informal settlements lack legal land ownership and as a result properties in such settlements have relatively less value and lack security of tenure. Providing security of tenure is believed to encourage investment into informal households and facilitate the provision of urban services. This study aims to evaluate the process of regularisation in three Tanzanian settlements; Magengenu in Dar es Salaam (Tanzania’s largest city), Ibungilo and Isamilo in Mwanza city (the nation’s second largest city). Using qualitative data the paper explores the challenges and opportunities that emerged from regularisation. Findings indicate that the regularisation process has facilitated the issuance of title deeds, increased land value and security of tenure. However, a number of challenges were highlighted during regularisation. These include an over-emphasis on the protection of private rights while undermining public interests, a lack of harmonised cost for regularisation, and prolonged delays in completing the regularisation process. These require policy actions, particularly reviewing the national informal settlements regularisation guidelines, as a way to address the weaknesses emerging from regularisation projects in the studied settlements. We conclude that land regularisation remains an important tool to enhance livable cities and protect long-term public and private interests in land development. In order to achieve this, supportive policy actions are required to support the protection of public interests in land regularisation and harmonise the costs of regularisation.

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Bonora, Loriano, Roberto Soldati, and Stav Zalel. "Dirac, Majorana, Weyl in 4D." Universe 6, no. 8 (August 4, 2020): 111. http://dx.doi.org/10.3390/universe6080111.

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This is a review of some elementary properties of Dirac, Weyl and Majorana spinors in 4D. We focus in particular on the differences between massless Dirac and Majorana fermions, on one side, and Weyl fermions, on the other. We review in detail the definition of their effective actions, when coupled to (vector and axial) gauge fields, and revisit the corresponding anomalies using the Feynman diagram method with different regularisations. Among various well known results we stress in particular the regularisation independence in perturbative approaches, while not all the regularisations fit the non-perturbative ones. As for anomalies, we highlight in particular one perhaps not so well known feature: the rigid relation between chiral and trace anomalies.

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Valkonen, T. "Regularisation, optimisation, subregularity." Inverse Problems 37, no. 4 (March 16, 2021): 045010. http://dx.doi.org/10.1088/1361-6420/abe4aa.

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Venkatesh, Prasana K. "On Tikhonov regularisation." Physica A: Statistical Mechanics and its Applications 284, no. 1-4 (September 2000): 448–60. http://dx.doi.org/10.1016/s0378-4371(00)00203-x.

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Laborde, Jean-Marie. "Regularisation numerique d'orbites." Discrete Mathematics 53 (March 1985): 151–55. http://dx.doi.org/10.1016/0012-365x(85)90138-4.

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Acquah, Joseph, Francis Benyah, and Jerry S. Y. Kuma. "Regularisation Technique for a Distributed Parameter Identification Problem." Journal of Mathematics Research 11, no. 1 (January 22, 2019): 64. http://dx.doi.org/10.5539/jmr.v11n1p64.

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This paper examined the problem of ill-posedness of solution in identifying parameters from a given groundwater flow model. The solution approach to the problem was attempted by the method of Parameter Transformation coupled with Tikhonov Regularisation with and without Truncation which has not been explored. Convergence of the method was assessed by the L-Curve criterion. Numerical examples were presented to illustrate the efficiency of the proposed Regularisation Technique. Tikhonov Regularisation with Truncation turns to give a more realistic solution estimates when examined numerically, compared to that of Regularisation without Truncation.

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Dissertations / Theses on the topic "Regularisation"

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Schulze, Bert-Wolfgang, Alexander Shlapunov, and Nikolai Tarkhanov. "Regularisation of mixed boundary problems." Universität Potsdam, 1999. http://opus.kobv.de/ubp/volltexte/2008/2545/.

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Shaban, Neil Tamim. "Dimensional regularisation and gauge theories." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/5103/.

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Dimensional regularisation is formulated without using the assumption that f d(^D)k(k(^2))(^n) = 0. Alternative definitions of ϵ(_kλµv) and γ(^5) are also considered. In the reformulated scheme, quadratic divergences are present, in general, in the scalar and gauge boson self-energies, and remain unregularised. The possible cancellation of such divergences is investigated. Phenomenological aspects of unified gauge theories are studied.

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Marco, Jean-Pierre. "Prolongement et regularisation des systemes differentiables." Paris 6, 1991. http://www.theses.fr/1991PA066570.

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On donne dans le premier chapitre une methode universelle de regularisation des systemes differentiables sur des varietes non compactes, en generalisant une idee de sourian pour le probleme de kepler. Cette construction s'applique a la classification des regularisations usuelles (levi civita, moser, mcgehee), appelees ici prolongements. Les methodes de prolongement se separent en deux classes: les prolongements transverses (moser) et les prolongements tangents (mcgehee), on donne une etude topologique intrinseque dans les deux cas. Dans le deuxieme chapitre, on transpose aux integrales de bott quelques resultats de non integrabilite obtenus par kozlov, taimanov et bolotin dans le cas analytique. On utilise ensuite une methode de prolongement transverse pour prouver la non-integrabilite de quelques problemes de n centres fixes, en generalisant l'approche de bolotin. Dans le troisieme chapitre, on corrige une faute dans la demonstration de henard sur l'existence des solutions de seconde espece dans le probleme restreint des trois corps. On en deduit quelques resultats de non-existence de tores invariants troues dans le probleme

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Saadi, Kamel. "Efficient regularisation of least-squares kernel machines." Thesis, University of East Anglia, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522281.

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El, anbari Mohammed. "Regularisation and variable selection using penalized likelihood." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00661689.

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We are interested in variable sélection in linear régression models. This research is motivated by recent development in microarrays, proteomics, brain images, among others. We study this problem in both frequentist and bayesian viewpoints.In a frequentist framework, we propose methods to deal with the problem of variable sélection, when the number of variables is much larger than the sample size with a possibly présence of additional structure in the predictor variables, such as high corrélations or order between successive variables. The performance of the proposed methods is theoretically investigated ; we prove that, under regularity conditions, the proposed estimators possess statistical good properties, such as Sparsity Oracle Inequalities, variable sélection consistency and asymptotic normality.In a Bayesian Framework, we propose a global noninformative approach for Bayesian variable sélection. In this thesis, we pay spécial attention to two calibration-free hierarchical Zellner's g-priors. The first one is the Jeffreys prior which is not location invariant. A second one avoids this problem by only considering models with at least one variable in the model. The practical performance of the proposed methods is illustrated through numerical experiments on simulated and real world datasets, with a comparison betwenn Bayesian and frequentist approaches under a low informative constraint when the number of variables is almost equal to the number of observations.

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Borsic, Andrea. "Regularisation methods for imaging from electrical measurements." Thesis, Oxford Brookes University, 2002. https://radar.brookes.ac.uk/radar/items/4837c97a-d3ff-4521-a1df-f32a378534d2/1/.

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In Electrical Impedance Tomography the conductivity of an object is estimated from boundary measurements. An array of electrodes is attached to the surface of the object and current stimuli are applied via these electrodes. The resulting volt ages are measured. The process of estimating the conductivity as a function of space inside the object from voltage measurements at the surface is called reconstruction. Mathematically the ElT reconstruction is a non linear inverse problem, the stable solution of which requires regularisation nwthods. Most common regularisation methods impose that the reconstructed image should be smooth. Such methods confer stability to the reconstruction process, but limit the capability of describing sharp variations in the sought parameter. In this thesis two new methods of regularisation are proposed. The first method, Gallssian anisotropic regularisation, enhances the reconstruction of sharp conductivity changes occurring at the interface between a contrasting object and the background. As such changes are step changes, reconstruction with traditional smoothing regularisation techniques is unsatisfactory. The Gaussian anisotropic filtering works by incorporating prior structural information. The approximate knowledge of the shapes of contrasts allows us to relax the smoothness in the direction normal to the expected boundary. The construction of Gaussian regularisation filters that express such directional properties on the basis of the structural information is discussed, and the results of numerical experiments are analysed. The method gives good results when the actual conductivity distribution is in accordance with the prior information. When the conductivity distribution violates the prior information the method is still capable of properly locating the regions of contrast. The second part of the thesis is concerned with regularisation via the total variation functional. This functional allows the reconstruction of discontinuous parameters. The properties of the functional are briefly introduced, and an application in inverse problems in image denoising is shown. As the functional is non-differentiable, numerical difficulties are encountered in its use. The aim is therefore to propose an efficient numerical implementation for application in ElT. Several well known optimisation methods arc analysed, as possible candidates, by theoretical considerations and by numerical experiments. Such methods are shown to be inefficient. The application of recent optimisation methods called primal- dual interior point methods is analysed be theoretical considerations and by numerical experiments, and an efficient and stable algorithm is developed. Numerical experiments demonstrate the capability of the algorithm in reconstructing sharp conductivity profiles.

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Goutte, Cyril. "Apprentissage statistique et regularisation pour la regression." Paris 6, 1997. http://www.theses.fr/1997PA066663.

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Le sujet de cette these est l'etude et l'utilisation de l'apprentissage statistique et de la regularisation sur des problemes de regression. On s'interesse plus particulierement a l'identification de systemes et a la modelisation de series temporelles par des modeles lineaires d'une part et connexionnistes non-lineaires d'autre part. Les regressions parametriques lineaires et non-lineaire sont brievement presentees, et les limites de la regression simple sont illustrees en utilisant le concept d'erreur de generalisation. Ainsi definis, ces problemes sont incorrectement poses, et necessitent donc l'utilisation de regularisation pour obtenir des solutions correctes. Ceci introduit un ou plusieurs hyper-parametres qui controlent le niveau de regularisation et dont l'optimisation est effectuee en estimant l'erreur de generalisation. Plusieurs methodes sont presentees a cet effet. Ces developpements sont utilises pour s'attaquer a deux problemes particuliers. Dans le premier, il s'agit de determination des entrees necessaires a la modelisation d'une serie temporelle, par l'intermediaire d'une methode iterative s'appuyant sur l'estimation de la generalisation. Dans le second, on etudie une fonctionnelle de regularisation particuliere qui present l'interet d'effectuer un elagage des parametres inutiles du modele en conjonction avec son effet regularisant. Cette derniere partie utilise des estimateurs bayesiens qui sont aussi presentes de facon generale dans la these.

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Duignan, Nathan. "On the Regularisation of Simultaneous Binary Collisions." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21315.

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This dissertation contains work on the simultaneous binary collision in the n-body problem. Martínez and Simó have conjectured that removal of the singularity at this collision via block regularisation results in a regularised flow that is no more than C^(8/3) differentiable with respect to initial conditions. Remarkably, the same authors proved the conjecture for the collinear 4-body problem. The conjecture remains open for the planar case or for n > 4 . This thesis explores the loss of differentiability in the collinear and planar 4-body problem. In the collinear problem, a new proof is provided of the C^(8/3)-regularisation. In the planar problem, a proof that the simultaneous binary collisions are at least C^2-regularisable is given. In both cases a remarkable link between the finite differentiability and the inability to construct a set of integrals local to the singularities is established. The theoretical framework for improving the C^2 result in the plane is established. The method of proof in both cases brings together the theory of blow-up, normal forms, hyperbolic transitions, and computation of regular transition maps to explicitly compute an asymptotic expansion of the transition past the singularities. These tools are first explored in novel work on the regularisation of a generic class of degenerate singularities in planar vector fields. In particular, a relatively simple perturbation of an example derived from the 4-body problem is shown to be C^(4/3) However, the study of simultaneous binary collisions requires that each of these tools be extended to higher dimensions, in particular to manifolds of normally hyperbolic fixed points. General theory on normal forms and asymptotic properties of nearby transitions of such manifolds are detailed. The normal forms are studied in the formal and C^k categories. The hyperbolic transitions are shown to have similar properties to the well studied Dulac maps of planar saddles.

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Papafitsoros, Konstantinos. "Novel higher order regularisation methods for image reconstruction." Thesis, University of Cambridge, 2015. https://www.repository.cam.ac.uk/handle/1810/246692.

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In this thesis we study novel higher order total variation-based variational methods for digital image reconstruction. These methods are formulated in the context of Tikhonov regularisation. We focus on regularisation techniques in which the regulariser incorporates second order derivatives or a sophisticated combination of first and second order derivatives. The introduction of higher order derivatives in the regularisation process has been shown to be an advantage over the classical first order case, i.e., total variation regularisation, as classical artifacts such as the staircasing effect are significantly reduced or totally eliminated. Also in image inpainting the introduction of higher order derivatives in the regulariser turns out to be crucial to achieve interpolation across large gaps. First, we introduce, analyse and implement a combined first and second order regularisation method with applications in image denoising, deblurring and inpainting. The method, numerically realised by the split Bregman algorithm, is computationally efficient and capable of giving comparable results with total generalised variation (TGV), a state of the art higher order method. An additional experimental analysis is performed for image inpainting and an online demo is provided on the IPOL website (Image Processing Online). We also compute and study properties of exact solutions of the one dimensional total generalised variation problem with L^{2} data fitting term, for simple piecewise affine data functions, with or without jumps . This gives an insight on how this type of regularisation behaves and unravels the role of the TGV parameters. Finally, we introduce, study and analyse a novel non-local Hessian functional. We prove localisations of the non-local Hessian to the local analogue in several topologies and our analysis results in derivative-free characterisations of higher order Sobolev and BV spaces. An alternative formulation of a non-local Hessian functional is also introduced which is able to produce piecewise affine reconstructions in image denoising, outperforming TGV.

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Battle, David John. "Maximum Entropy Regularisation Applied to Ultrasonic Image Reconstruction." University of Sydney. Electrical Engineering, 1999. http://hdl.handle.net/2123/842.

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Image reconstruction, in common with many other inverse problems, is often mathematically ill-posed in the sense that solutions are neither stable nor unique. Ultrasonic image reconstruction is particularly notorious in this regard, with narrow transducer bandwidths and limited - sometimes sparsely sampled apertures posing formidable difficulties for conventional signal processing. To overcome these difficulties, some form of regularisation is mandatory, whereby the ill-posed problem is restated as a closely related, well-posed problem, and then solved uniquely. This thesis explores the application of maximum entropy (MaxEnt) regularisation to the problem of reconstructing complex-valued imagery from sparsely sampled coherent ultrasonic field data, with particular emphasis on three-dimensional problems in the non-destructive evaluation (NDE) of materials. MaxEnt has not previously been applied to this class of problem, and yet in comparison with many other approaches to image reconstruction, it emerges as the clear leader in terms of resolution and overall image quality. To account for this performance, it is argued that the default image model used with MaxEnt is particularly meaningful in cases of ultrasonic scattering by objects embedded in homogeneous media. To establish physical and mathematical insights into the forward problem, linear equations describing scattering from both penetrable and impenetrable objects are first derived using the Born and physical optics approximations respectively. These equations are then expressed as a shift-invariant computational model that explicitly incorporates sparse sampling. To validate this model, time-domain scattering responses are computed and compared with analytical solutions for a simple canonical test case drawn from the field of NDE. The responses computed via the numerical model are shown to accurately reproduce the analytical responses. To solve inverse scattering problems via MaxEnt, the robust Cambridge algorithm is generalised to the complex domain and extended to handle broadband (multiple-frequency) data. Two versions of the augmented algorithm are then compared with a range of other algorithms, including several linearly regularised algorithms and lastly, due to its acknowledged status as a competitor with MaxEnt in radio-astronomy, the non-linear CLEAN algorithm. These comparisons are made through simulated 3-D imaging experiments under conditions of both complete and sparse aperture sampling with low and high levels of additive Gaussian noise. As required in any investigation of inverse problems, the experimental confirmation of algorithmic performance is emphasised, and two common imaging geometries relevant to NDE are selected for this purpose. In monostatic synthetic aperture imaging experiments involving side-drilled holes in an aluminium plate and test objects immersed in H2O, MaxEnt image reconstruction is demonstrated to be robust against grating-lobe and side-lobe formation, in addition to temporal bandwidth restriction. This enables efficient reconstruction of 2-D and 3-D images from small numbers of discrete samples in the spatial and frequency domains. The thesis concludes with a description of the design and testing of a novel polyvinylidene fluoride (PVDF) bistatic array transducer that offers advantages over conventional point-sampled arrays in terms of construction simplicity and signal-to-noise ratio. This ultra-sparse orthogonal array is the only one of its kind yet demonstrated, and was made possible by MaxEnt signal processing.

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Books on the topic "Regularisation"

1

Borsic, Andrea. Regularisation methods for imaging from electrical measurements. [Oxford]: Oxford Brookes University, 2002.

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Kirkeby, O. Fast deconvolution of multi-channel systems using regularisation. Southampton: University of Southampton, Institute of Sound and Vibration Research, 1996.

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Amini, S. Regularisation of strongly singular integrals in boundary integral equations. Salford: University of Salford Department of Mathematics and Computer Science, 1995.

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Hydrology and the river environment. Oxford: Clarendon Press, 1994.

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Baldwin-Edwards and Kraler, eds. REGINE: Regularisations in Europe. Amsterdam: Amsterdam University Press, 2009.

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1945-, Wang E., Warner Huber R, and Workshop on Control of Cell Proliferation in Senescent Cells (1985 : National Institute on Aging), eds. Growth control during cell aging. Boca Raton, Fla: CRC Press, 1989.

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Mechanisms and regulation of carbohydrate transport in bacteria. Orlando, FL: Academic Press, 1985.

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Merchant, Akbar G. Akbar G. Merchant's comments on company law, includes 1. Comments on Companies ordinance, 1984--(excluding winding up) ; 2. Comments on Draft companies rules ; 3. Comparative chart of new sections of Companies ordinance and old sections of Companies Act ; 4. Check list for general compliance under the Companies ordinance including necessary issues of regularisation, requiring immediate attention, etc. Karachi: Flecbon Corp., 1985.

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Britain, Great. Immigration (Regularisation Period for Overstayers) Regulations 2000. Stationery Office, The, 2000.

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Kowalenko, Victor, ed. The Stokes Phenomenon, Borel Summation and Mellin-Barnes Regularisation. BENTHAM SCIENCE PUBLISHERS, 2012. http://dx.doi.org/10.2174/97816080501091090101.

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Book chapters on the topic "Regularisation"

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Huber, Richard. "Regularisation Functionals." In Variational Regularization for Systems of Inverse Problems, 63–88. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25390-5_4.

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Huber, Richard. "General Tikhonov Regularisation." In Variational Regularization for Systems of Inverse Problems, 15–37. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25390-5_2.

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Shadbolt, Jimmy. "Overfitting, Generalisation and Regularisation." In Perspectives in Neural Computing, 55–59. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0151-2_7.

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Ambrosini, Maurizio, and Minke H. J. Hajer. "Responses and Solutions to Irregular Migration: Detention and Deportation Versus Regularisation." In IMISCOE Research Series, 61–85. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30838-3_4.

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AbstractIrregular migrants lack the formal authorisation to reside in the country in which they live; therefore, they are at risk of being detained and deported. This chapter will examine the ways in which states respond to irregular migration. It will first consider the various forms of detention and removal of irregular migrants. Return policies for irregular migrants include forced deportation and (semi) voluntary return. The chapter will also discuss push-backs as forms of ‘pre-arrival deportation’, the time that irregular migrants spend in immigrant detention, and what happens after they have been deported. It will then explore the alternative solution, namely regularisation policies, discussing regularisation programmes, like mass amnesties, and regularisation mechanisms through which irregular migrants can regularise themselves on an individual basis.

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Husmeier, Dirk. "A simple Bayesian regularisation scheme." In Neural Networks for Conditional Probability Estimation, 137–45. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0847-4_9.

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ElGhawalby, Hewayda, and Edwin R. Hancock. "Graph Regularisation Using Gaussian Curvature." In Graph-Based Representations in Pattern Recognition, 233–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02124-4_24.

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Barth, M., J. L. Denny, and T. A. Gooley. "Regularisation in Coded-Aperture Spect." In Maximum Entropy and Bayesian Methods, 383–89. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0683-9_25.

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Schulze, B. W., A. Shlapunov, and N. Tarkhanov. "Regularisation of Mixed Boundary Problems." In Jean Leray ’99 Conference Proceedings, 389–410. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-2008-3_26.

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Paulsen, Rasmus R., Jakob Andreas Bærentzen, and Rasmus Larsen. "Regularisation of 3D Signed Distance Fields." In Image Analysis, 513–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02230-2_52.

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Husmeier, Dirk. "The Bayesian Evidence Scheme for Regularisation." In Neural Networks for Conditional Probability Estimation, 147–63. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0847-4_10.

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Conference papers on the topic "Regularisation"

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Li, Pan, Yanwei Fu, and Shaogang Gong. "Regularising Knowledge Transfer by Meta Functional Learning." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/370.

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Machine learning classifiers’ capability is largely dependent on the scale of available training data and limited by the model overfitting in data-scarce learning tasks. To address this problem, this work proposes a novel Meta Functional Learning (MFL) by meta-learning a generalisable functional model from data-rich tasks whilst simultaneously regularising knowledge transfer to data-scarce tasks. The MFL computes meta-knowledge on functional regularisation generalisable to different learning tasks by which functional training on limited labelled data promotes more discriminative functions to be learned. Moreover, we adopt an Iterative Update strategy on MFL (MFL-IU). This improves knowledge transfer regularisation from MFL by progressively learning the functional regularisation in knowledge transfer. Experiments on three Few-Shot Learning (FSL) benchmarks (miniImageNet, CIFAR-FS and CUB) show that meta functional learning for regularisation knowledge transfer can benefit improving FSL classifiers.

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Greenway, Phil. "Temporal Regularisation Of Optical Flow." In Robotics and IECON '87 Conferences, edited by David P. Casasent and Ernest L. Hall. SPIE, 1988. http://dx.doi.org/10.1117/12.942788.

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Hjorth, L. U. "Regularisation of mixture density networks." In 9th International Conference on Artificial Neural Networks: ICANN '99. IEE, 1999. http://dx.doi.org/10.1049/cp:19991162.

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Poole, G., D. Trad, R. Wombell, and G. Williams. "Regularisation for Wide Azimuth Datasets." In EAGE Marine Seismic Workshop: Focus on Middle East and North Africa 2009. Netherlands: EAGE Publications BV, 2009. http://dx.doi.org/10.3997/2214-4609.20146200.

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Liu, Yuanyang, Ivan Stoianov, and Filippo Pecci. "Iteratively tuning the regularisation parameter in an inverse method for localising leaks in water distribution networks." In 2nd WDSA/CCWI Joint Conference. València: Editorial Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/wdsa-ccwi2022.2022.14751.

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Novel methods for detecting and localising leaks in water distribution networks are being increasingly investigated as water utilities face unprecedented financial and environmental challenges in reducing water losses. A promising method includes the solution of the regularised inverse problem that minimises the difference between simulated and measured data in addition to the regularisation term. However, the results of leak localisation are sensitive to the choice of the regularisation parameter. In this paper, we propose and investigate a method for iterative tuning of the regularisation parameter to improve the leak localisation performance in case of multiple time steps measurements. The numerical investigation utilises a benchmarking network model, and different metrics are applied to evaluate the results of the leak localisation performance, such as the performance and the distance metric.

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Blumensath, T., M. Yaghoobi, and M. E. Davies. "Iterative Hard Thresholding and L0 Regularisation." In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366820.

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Liu, Feng, Tao Xiang, Timothy M. Hospedales, Wankou Yang, and Changyin Sun. "Semantic Regularisation for Recurrent Image Annotation." In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.443.

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Vidal, Ana Fernandez, and Marcelo Pereyra. "Maximum Likelihood Estimation of Regularisation Parameters." In 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018. http://dx.doi.org/10.1109/icip.2018.8451795.

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Klemm, H., and A. J. Cherrett. "Time-Shift Inversion with Geomechanical Regularisation." In Second EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202229031.

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Grazzini, Jacopo, Scott Dillard, and Pierre Soille. "Multichannel Image Regularisation Using Anisotropic Geodesic Filtering." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.653.

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Reports on the topic "Regularisation"

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Gillingham, Polly, and Felicity Buckle. Rwanda land tenure regularisation case study. Evidence on Demand, March 2014. http://dx.doi.org/10.12774/eod_hd.march2014.gillingham.

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Renshaw, Jonathan. Guyana: Technical Note on Indigenous Peoples. Inter-American Development Bank, September 2007. http://dx.doi.org/10.18235/0009127.

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The aim of this note is to provide an overview of the situation of the Indigenous Peoples of Guyana. The note covers a range of issues, including land regularisation, environment - especially mining, logging and the establishment of protected areas - economic development, education, health care and local infrastructure. In line with the Bank's Policy on Indigenous Peoples, it stresses the need to ensure Indigenous Peoples are given the opportunity to participate in the discussions and decisions relating to all Bank operations that may affect them.

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Polakowski, Michał, and Emma Quinn. Responses to irregularly staying migrants in Ireland. ESRI, May 2022. http://dx.doi.org/10.26504/rs140.

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Irregularly staying migrants are more likely to face material deprivation, instability and are more vulnerable to exploitation and crime than legal residents (FRA, 2011). Ultimately, they may face deportation to their country of origin. The fear of detection and deportation can lead to underutilisation of public services (Vintila and Lafleur, 2020). The recent introduction of the Regularisation of Long-Term Undocumented Migrants Scheme (discussed below) is a major policy development that should improve the situation of many people living in Ireland. However, it is likely that irregular migration will persist, and related policy challenges will remain. This report aims to provide an overview of the situation of irregularly staying migrants in Ireland, including access to public services, and to outline major public debates and policy measures introduced to address related issues.

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Murphy, Keire, and Anne Sheridan. Annual report on migration and asylum 2022: Ireland. ESRI, November 2023. http://dx.doi.org/10.26504/sustat124.

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Annual Report on Migration and Asylum gives overview of statistics and developments in migration in 2022. The European Migration Network (EMN) Ireland within the ESRI has published its annual review of migration and asylum in Ireland. The EMN is an EU network that provides objective, comparable policy-relevant information on migration and international protection. EMN Ireland is located in the ESRI and is funded by the European Union and the Department of Justice. With an overview of the latest data as well as policy and operational developments, research, and case law from 2022, this report is a comprehensive reference that gives an opportunity to view the entire migration landscape in Ireland. The report shows that many forms of migration are recovering quickly from COVID-19 travel restrictions. It also shows that migration is being impacted by shortages in the labour market and the Russian invasion of Ukraine. As a result of these developments and others, Ireland saw a significant increase in immigration, with 141,600 people arriving in the year leading up to April 2023, according to CSO figures. This represents a 31% increase from the year to April 2022. However, emigration also increased, with 64,000 individuals leaving Ireland during the same period, marking a 14% increase from the previous year. 2022 saw a significant increase in first residence permits (which are granted to migrants from outside the EEA) from 2021. 85,793 permits were issued in 2022, with education the most common reason for permits (48%). Partially reflecting changes to eligible occupations for employment permits, the number of employment permits issued was the highest in the last 10 years. 39,995 employment permits were issued, with the information and communication sector the largest recipient of permits. Key developments in this area highlighted by the report include discussions on and progress with the Employment Permits Bill, changes to the Atypical Working Scheme, plans for a single application procedure for employment permits and immigration permissions, and changes to employment permits occupation lists to respond to labour market shortages. The report analyses international protection, showing significant increases in international protection applications as well as details of applications, decisions made, and statuses awarded. It shows an expansion of decision-making in response to increased applications. Looking at the broader EU situation, the report shows that applications for international protection in Ireland accounted for 1.3% of the EU total in 2022. The report also details the pressure on the reception and accommodation system for international protection applicants and beneficiaries of temporary protection, as well as the extraordinary measures taken to scale these up. It highlights measures taken to implement the White Paper to End Direct Provision and informs on a review of timelines of the plan. It discusses changes made by the International Protection Office to speed up processing, and criticism of these measures by NGOs, as well as details of the regularisation scheme for undocumented migrants and the humanitarian admission of Afghans. The Temporary Protection Directive – an EU Directive that creates an exceptional measure to provide immediate and temporary protection in the event of a mass influx of displaced persons – was triggered for the first time in March 2022, following the Russian invasion of Ukraine. As a result, the report includes a dedicated chapter with statistics relating to arrivals and a detailed overview of Ireland’s response to displaced persons from Ukraine. It also gives a comprehensive overview of other areas of migration, as well as research and case law from 2022, providing a crucial reference text for anyone working in the area.

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