Results 21 to 30 of about 258 (126)
Variational Multiscale Nonparametric Regression: Algorithms and Implementation
Algorithms, 2020 Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric ...
Miguel del Alamo +3 more
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BioTechniques, 2009 Cell migration plays a major role in development, physiology, and disease, and is frequently evaluated in vitro by the monolayer wound healing assay. The assay analysis, however, is a time-consuming task that is often performed manually.
Tobias Gebäck +3 more
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An Intertwining of Curvelet and Linear Canonical Transforms
Journal of Mathematics, 2020 In this article, we introduce a novel curvelet transform by combining the merits of the well-known curvelet and linear canonical transforms. The motivation towards the endeavour spurts from the fundamental question of whether it is possible to increase ...
Azhar Y. Tantary, Firdous A. Shah
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, 2009 Glossary WT1D The one-dimensional Wavelet Transform as defined in [1]. See also [2] in this volume. WT2D The two-dimensional Wavelet Transform. Discrete Ridgelet Trasnform (DRT) The discrete implementation of the continuous Ridgelet transform. Fast Slant Stack (FSS) An algebraically exact Radon transform of data on a Cartesian grid.
Fadili, Jalal M., Starck, Jean-Luc
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Edge detection in microscopy images using curvelets
BMC Bioinformatics, 2009 Background Despite significant progress in imaging technologies, the efficient detection of edges and elongated features in images of intracellular and multicellular structures acquired using light or electron microscopy is a challenging and time ...
Koumoutsakos Petros, Gebäck Tobias
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Curvelet Denoising of 4D Seismic [PDF]
66th EAGE Conference & Exhibition, 2004 With burgeoning world demand and a limited rate of discovery of new reserves, there is increasing impetus upon the industry to optimize recovery from already existing fields. 4D, or time-lapse, seismic imaging is an emerging technology that holds great promise to better monitor and optimise reservoir production. The basic idea behind 4D seismic is that
Bayreuther, Moritz +2 more
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Compactly Supported Curvelet-Type Systems
Journal of Function Spaces and Applications, 2012 We study a flexible method for constructing curvelet-type frames. These curvelet-type systems have the same sparse representation properties as curvelets for appropriate classes of smooth functions, and the flexibility of the method allows us to give a ...
Kenneth N. Rasmussen, Morten Nielsen
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Local appearance-based face recognition using adaptive directional wavelet transform
Journal of King Saud University: Computer and Information Sciences, 2019 The latest research has shown that adaptive directional wavelet transform can constitute edges and textures in images efficiently due to the adaptive directional selectivity.
Mohd. Abdul Muqeet, Raghunath S. Holambe
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Classification of the fibronectin variants with curvelets [PDF]
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018 The role of the extracellular matrix (ECM) in the evolution of certain diseases (e.g. fibrosis, cancer) is generally accepted but yet to be completely understood. A numerical model that captures the physical properties of the ECM, could convey certain connections between the topology of its constituents and their associated biological features.
Grapa, Anca-Ioana +7 more
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Fast Discrete Curvelet Transforms [PDF]
Multiscale Modeling & Simulation, 2006 This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions. The first digital transformation is based on unequally spaced fast Fourier transforms, while the second is based on the wrapping of specially selected Fourier samples.
Candès, Emmanuel +3 more
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