Results 221 to 230 of about 5,186,590 (262)
Some of the next articles are maybe not open access.
Canadian Mathematical Bulletin, 2010
AbstractLet R be a dense subring of End(DV), where V is a left vector space over a division ring D. If dimDV = ∞, then the range of any nonzero polynomial ƒ (X1, … , Xm) on R is dense in End(DV). As an application, let R be a prime ring without nonzero nil one-sided ideals and 0 ≠ a ∈ R. If a f (x1, … , xm)n(xi) = 0 for all x1, … , xm ∈ R, where n(xi )
Chuang, Chen-Lian, Lee, Tsiu-Kwen
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AbstractLet R be a dense subring of End(DV), where V is a left vector space over a division ring D. If dimDV = ∞, then the range of any nonzero polynomial ƒ (X1, … , Xm) on R is dense in End(DV). As an application, let R be a prime ring without nonzero nil one-sided ideals and 0 ≠ a ∈ R. If a f (x1, … , xm)n(xi) = 0 for all x1, … , xm ∈ R, where n(xi )
Chuang, Chen-Lian, Lee, Tsiu-Kwen
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Resizing geovisualization with density map via a map collage
Journal of Visualization, 2019The extensive distribution of portable digital devices brings demands of adapting media to restricted display spaces or various aspect ratios. Most existing content-aware visualization resizing approaches introduce nonlinear deformation to enhance or preserve salient areas while squeezing non-salient ones.
Junjie Chen +2 more
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Wavelet analysis of electron-density maps
Acta Crystallographica Section D Biological Crystallography, 2000The wavelet transform is a powerful technique in signal processing and image analysis and it is shown here that wavelet analysis of low-resolution electron-density maps has the potential to increase their resolution. Like Fourier analysis, wavelet analysis expresses the image (electron density) in terms of a set of orthogonal functions.
P, Main, J, Wilson
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The invariant densities for maps modeling intermittency
Journal of Statistical Physics, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2002
When everything has been done to make the phases as good as possible, the time has come to examine the image of the structure in the form of an electron-density map. The electron-density map is the Fourier transform of the structure factors (with their phases). If the resolution and phases are good enough, the electron-density map may be interpreted in
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When everything has been done to make the phases as good as possible, the time has come to examine the image of the structure in the form of an electron-density map. The electron-density map is the Fourier transform of the structure factors (with their phases). If the resolution and phases are good enough, the electron-density map may be interpreted in
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Kernel-Based Density Map Generation for Dense Object Counting
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Jia Wan, Antoni B Chan, Qingzhong Wang
exaly
Density map and fuzzy classification for breast density by using BI-RADS
Computer Methods and Programs in Biomedicine, 2021Hayde Peregrina-Barreto
exaly
Object Counting for Remote-Sensing Images via Adaptive Density Map-Assisted Learning
IEEE Transactions on Geoscience and Remote Sensing, 2022Daiqin Yang, Yunfei Zhang, Guanchen Ding
exaly
Density-Colored Bifurcation Diagrams — A Complementary Tool for Chaotic Map Analysis
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2023Christos Volos +2 more
exaly
Quality of the electron density map
Journal of Molecular Biology, 1983Abelardo Silva +3 more
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