Results 21 to 30 of about 4,894 (291)
Asymptotic Regimes of an Integro-Difference Equation with Discontinuous Kernel
This paper is concerned with an integral equation that models discrete time dynamics of a population in a patchy landscape. The patches in the domain are reflected through the discontinuity of the kernel of the integral operator at a finite number of points in the whole domain.
Omar Abdul Halim, Mohammad El Smaily
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Robust Motion Blur Kernel Estimation by Kernel Continuity Prior
The accurate kernel estimation is key to the blind motion deblurring. Many previous methods depend on the image regularization to recover strong edges in the observed image for kernel estimation.
Xueling Chen +3 more
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High energy flash X‐ray image restoration using region extrema and kernel optimization
The quality of high energy flash X‐ray images is crucial to the high‐precision diagnosis of object density. High energy flash X‐ray radiography is susceptible to the system blur, which usually causes the poor quality of static images. In response to this,
Xiaolin Wang, Qingwu Li, Jinxin Xu
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Large Gap Asymptotics for Airy Kernel Determinants with Discontinuities [PDF]
We obtain large gap asymptotics for Airy kernel Fredholm determinants with any number $m$ of discontinuities. These $m$-point determinants are generating functions for the Airy point process and encode probabilistic information about eigenvalues near soft edges in random matrix ensembles.
Christophe Charlier, Tom Claeys
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Sparse Support Tensor Machine with Scaled Kernel Functions
As one of the supervised tensor learning methods, the support tensor machine (STM) for tensorial data classification is receiving increasing attention in machine learning and related applications, including remote sensing imaging, video processing, fault
Shuangyue Wang, Ziyan Luo
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Kernel Representations for Evolving Continuous Functions [PDF]
To parameterize continuous functions for evolutionary learn- ing, we use kernel expansions in nested sequences of function spaces of growing complexity.
Glasmachers, Tobias +2 more
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Segmentation of Brain Substantia Nigra Pars Compacta Based on Improved U-Net [PDF]
The segmentation of brain Substantia Nigra pars compacta(SNpc) can provide the basis for Parkinson's disease diagnosis.SNpc is a low-pixel-ratio object in Magnetic Resonance Imaging(MRI) of the human brain, and the pixels with different labels are ...
CAO Jiawang, TIAN Weiwei, LIU Xueling, LI Yuxin, FENG Rui
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Kernel-based adaptive approximation of functions with discontinuities
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L Lenarduzzi, R Schaback
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On the theory of integral equations with discontinuous kernels [PDF]
This paper is concerned with the theory of the integral equation whose salient characteristic is that its kernel K(x, t) is discontinuous along the line t =x. It is closely related with the theory of the integral equation characterized by discontinuities in the partial derivatives of the kernel for t=x, of which more specific mention is made below. The
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The aim of this study is to evaluate the crystal structure of binary mixtures of palm kernel fat and fish oil, before and after chemical and enzymatic interesterification. The crystal structure was analyzed by polarized light microscopy.
Oscar Wilfredo Díaz Gamboa +1 more
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