Results 21 to 30 of about 2,210,509 (307)

Variation in actual relationship among descendants of inbred individuals [PDF]

, 2012
Summary In previous analyses, the variation in actual, or realized, relationship has been derived as a function of map length of chromosomes and type of relationship, the variation being greater the shorter the total chromosome length and the coefficient
Weir, B S, Hill, W G
core   +1 more source

Sparse View CT Image Reconstruction Based on Total Variation and Wavelet Frame Regularization

IEEE Access, 2020
The sparse view problem of image reconstruction encountered in computed tomography (CT) is an important research issue due to its considerable potential in lowering radiation dose.
Zhaoyan Qu, Ximing Yan, Jinxiao Pan, Ping Chen   +3 more
doaj   +1 more source

Uneven Index: A Digital Biomarker to Prompt Demodex Blepharitis Based on Deep Learning

Frontiers in Physiology, 2022
Purpose: To evaluate ocular surface manifestations and morphological changes in meibomian glands (MGs) based on artificial intelligence (AI) analysis in patients with Demodex blepharitis.Methods: In this retrospective study, 115 subjects were enrolled ...
Xinyi Liu, Xinyi Liu, Yana Fu, Yana Fu, Dandan Wang, Dandan Wang, Shoujun Huang, Chunlei He, Xinxin Yu, Zuhui Zhang, Dexing Kong, Qi Dai, Qi Dai   +12 more
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Total Variation Wavelet Thresholding [PDF]

Journal of Scientific Computing, 2007
The authors consider the noise removal and reducing edge artifacts generated by wavelet thresholdings in image denoising and compression. It is known that wavelet thresholdings may generate oscillations near discontinuities. Since about 1990, partial differential equations (PDE) models have been used in image processing in the pixel domain [see, e.g., \
Tony F. Chan, Haomin Zhou 0001
openaire   +3 more sources

A new regularization term based on second order total generalized variation for image denoising problems [PDF]

Iranian Journal of Numerical Analysis and Optimization, 2019
Variational models are one of the most efficient techniques for image denoising problems. A variational method refers to the technique of optimizing a functional in order to restore appropriate solutions from observed data that best fit the original ...
E. Tavakkol, S.M. Hosseini, A.R. Hosseini   +2 more
doaj   +1 more source

Analytical aspects of spatially adapted total variation regularisation [PDF]

, 2016
In this paper we study the structure of solutions of the one dimensional weighted total variation regularisation problem, motivated by its application in signal recovery tasks.
Papafitsoros, Kostas, Konstantinos Papafitsoros, Rautenberg, Carlos N., Hintermüller, Michael, Carlos N. Rautenberg, Papafitsoros, Konstantinos, Michael Hintermüller   +6 more
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Multiclass Total Variation Clustering [PDF]

, 2014
Ideas from the image processing literature have recently motivated a new set of clustering algorithms that rely on the concept of total variation. While these algorithms perform well for bi-partitioning tasks, their recursive extensions yield unimpressive results for multiclass clustering tasks.
Bresson, X, Laurent, T, Uminsky, David, von Brecht, J   +3 more
openaire   +4 more sources

Total Variation Isoperimetric Profiles [PDF]

SIAM Journal on Applied Algebra and Geometry, 2019
Applications such as political redistricting demand quantitative measures of geometric compactness to distinguish between simple and contorted shapes. While the isoperimetric quotient, or ratio of area to perimeter squared, is commonly used in practice, it is sensitive to noisy data and irrelevant geographic features like coastline.
Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon 0001   +3 more
openaire   +4 more sources

Genome-Wide Scan on Total Serum IgE Levels Identifies FCER1A as Novel Susceptibility Locus [PDF]

, 2008
High levels of serum IgE are considered markers of parasite and helminth exposure. In addition, they are associated with allergic disorders, play a key role in anti-tumoral defence, and are crucial mediators of autoimmune diseases.
Wichmann, H. -Erich, Ursula Krämer, Liang Liming, Markus Ollert, Stephan Weidinger, Mempel, Martin, Bauer, Carl Peter, Baurecht Hansjörg, Prokisch Holger, Mehta Divya, von Berg, A., von Mutius, Erika, Bauer Carl Peter, Gohlke, H., Cookson, W., Depner, Martin, Wagenpfeil, S., Wichmann, H.-E., Illig, T., Michael Kabesch, Mempel, M., Novak, N., Mehta, D., Illig Thomas, Liang, L., Kabesch, Michael, von Berg Andrea, Moffatt Miriam, Prokisch, H., Heinrich Joachim, Herbarth, Olf, Gohlke Henning, Bieber, Thomas, Olf Herbarth, Martin Depner, Stefan Wagenpfeil, Heinrich, Joachim, H-Erich Wichmann, Erika von Mutius, Heinrich, J., Gieger, Christian, Heidrun Behrendt, Ollert Markus, Thomas Bieber, Meitinger, T., Divya Mehta, Ring, Johannes, Rodriguez Elke, Herbarth Olf, Miriam Moffatt, Natalija Novak, von Mutius Erika, Cookson William, Mehta, Divya, Behrendt Heidrun, Klopp, Norman, Ring Johannes, Bieber Thomas, Cookson, William, Sibylle Koletzko, Meitinger Thomas, Wichmann, Heinz-Erich, Mempel Martin, Hansjörg Baurecht, William Cookson, Kraemer, Ursula, Gieger, C., Gohlke, Henning, Christian Gieger, Baurecht, H., Depner Martin, Kabesch Michael, Weidinger, S., Bieber, T., Herbarth, O., Novak, Natalija, Berdel Dietrich, Moffatt, M., Berdel, D., von Mutius, E., Koletzko, Sibylle, Klopp, N., Krämer Ursula, Gieger Christian, Liang, Liming, Bauer, C.P., Johannes Ring, Berdel, Dietrich, Wagenpfeil, Stefan, Mutius, Erika von, Koletzko Sibylle, Koletzko, S., Rodriguez, E., Krämer, U., Ollert, Markus, Ollert, M., Rodriguez, Elke, Wichmann H.-Erich, Kabesch, M., Behrendt, H., Prokisch, Holger, Moffatt, Miriam, Henning Gohlke, Carl Peter Bauer, Illig, Thomas, Meitinger, Thomas, Liming Liang, Joachim Heinrich, Andrea von Berg, Thomas Illig, Novak Natalija, von Berg, Andrea, Weidinger, Stephan, Weidinger Stephan, Klopp Norman, Baurecht, Hansjoerg, Behrendt, Heidrun, Thomas Meitinger, Depner, M., Berg, Andrea von, Dietrich Berdel, Ring, J., Wagenpfeil Stefan, Elke Rodriguez, Norman Klopp, Martin Mempel, Holger Prokisch   +126 more
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A Variational Model for Sea Image Enhancement

Remote Sensing, 2018
The purpose of sea image enhancement is to enhance the information of the waves, whose contrast is generally weak. Enhancement effect is often affected by impulse-type noise and non-uniform illumination.
Mingzhu Song, Hongsong Qu, Guixiang Zhang, Shuping Tao, Guang Jin   +4 more
doaj   +1 more source