Results 11 to 20 of about 725,384 (331)
The Spectral Analysis and Application of Low-degree Modified Spheroidal Hotine Kernel [PDF]
Journal of Geodesy and Geoinformation Science, 2020 The traditional spheroidal kernel results in the spectrum leakage, and the utilization rate of the removed degrees of the measured data is low. Hence, a kind of spheroidal kernel whose high- and low-degrees are both modified is introduced in this ...
MA Jian,WEI Ziqing,REN Hongfei
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Widely Linear Kernels for Complex-valued Kernel Activation Functions [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 Accepted at ICASSP ...
Scardapane, S +3 more
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Explicit Linear Kernels via Dynamic Programming [PDF]
SIAM Journal on Discrete Mathematics, 2015 Several algorithmic meta-theorems on kernelization have appeared in the last years, starting with the result of Bodlaender et al. [FOCS 2009] on graphs of bounded genus, then generalized by Fomin et al. [SODA 2010] to graphs excluding a fixed minor, and by Kim et al. [ICALP 2013] to graphs excluding a fixed topological minor.
Garnero, Valentin +3 more
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Linearized trinomials with maximum kernel [PDF]
Journal of Pure and Applied Algebra, 2022 Linearized polynomials have attracted a lot of attention because of their applications in both geometric and algebraic areas. Let $q$ be a prime power, $n$ be a positive integer and $σ$ be a generator of $\mathrm{Gal}(\mathbb{F}_{q^n}\colon\mathbb{F}_q)$. In this paper we provide closed formulas for the coefficients of a $σ$-trinomial $f$ over $\mathbb{
Santonastaso P., Zullo F.
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Linearized Kernel Dictionary Learning [PDF]
IEEE Journal of Selected Topics in Signal Processing, 2016 In this paper we present a new approach of incorporating kernels into dictionary learning. The kernel K-SVD algorithm (KKSVD), which has been introduced recently, shows an improvement in classification performance, with relation to its linear counterpart K-SVD.
Alona Golts, Michael Elad
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A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery
EURASIP Journal on Advances in Signal Processing, 2007 Several linear and nonlinear detection algorithms that are based on spectral matched (subspace) filters are compared. Nonlinear (kernel) versions of these spectral matched detectors are also given and their performance is compared with linear versions ...
Nasser M. Nasrabadi, Heesung Kwon
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Explicit Linear Kernels for Packing Problems [PDF]
Algorithmica, 2018 43 pages, 4 ...
Garnero, Valentin +3 more
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Universal Local Linear Kernel Estimators in Nonparametric Regression
Mathematics, 2022 New local linear estimators are proposed for a wide class of nonparametric regression models. The estimators are uniformly consistent regardless of satisfying traditional conditions of dependence of design elements.
Yuliana Linke +5 more
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Journal of Numerical Analysis and Approximation Theory, 2023 Our aim in this work is to extend the primal-dual interior point method based on a kernel function for linear fractional problem. We apply the techniques of kernel function-based interior point methods to solve a standard linear fractional program.
Mousaab Bouafia, Adnan Yassine
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Kernel Entropy Estimation for Linear Processes [PDF]
Journal of Time Series Analysis, 2018 Let {X n :n∈N}be a linear process with bounded probability density function f(x). We study the estimation of the quadratic functional ∫ R f 2(x)dx. With a Fourier transform on the kernel function and the projection method, it is shown that, under certain mild conditions, the estimator has similar asymptotical properties as the i.i.d.
Sang, Hailin, Sang, Yongli, Xu, Fangjun
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