Results 41 to 50 of about 487,487 (101)
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 We present Spline-based Convolutional Neural Networks (SplineCNNs), a variant of deep neural networks for irregular structured and geometric input, e.g., graphs or meshes.
M. Fey +3 more
semanticscholar +1 more source
Bounds for the Gini mean difference via the Sonin identify
, 2005 Some bounds for the Gini mean difference of a continuous distribution by the use of the Sonin identify are ...
Cerone, Pietro, Dragomir, Sever S
core +1 more source
In Memoriam: Mark Dmitrievich Sonin, 1932-2010 [PDF]
, 2010 In memoriam for Mark Dmitrievich Sonin, parasitologist at the Russian Academy of Sciences, 1932 ...
Hoberg, Eric P. +5 more
core
, 1981 Photograph originally appeared in the 'Swinburne Newsletter', 15 October 1981. Graduation Ceremony, September 1981.
Swinburne Technical College
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Fractal and FractionalTraditional operational calculus, while intuitive and effective in addressing problems in physical fractal spaces, often lacks the rigorous mathematical foundation needed for fractional operations, sometimes resulting in inconsistent outcomes. To address these challenges, we have developed a universal framework for defining the fractional calculus ...
Zelin Liu, Xiaobin Yu, Yajun Yin
openaire +2 more sources
Fredholm factorization of Wiener-Hopf scalar and matrix kernels [PDF]
, 2007 A general theory to factorize the Wiener-Hopf (W-H) kernel using Fredholm Integral Equations (FIE) of the second kind is presented. This technique, hereafter called Fredholm factorization, factorizes the W-H kernel using simple numerical quadrature.
V. Daniele +3 more
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A probabilistic framework for mismatch and profile string kernels
, 2005 There has recently been numerous applications of kernel methods in the field of bioinformatics. In particular, the problem of protein homology has served as a benchmark for the performance of many new kernels which operate directly on strings (such as ...
Vinokourov, A. +2 more
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Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification [PDF]
, 2012 Convolution kernels support the modeling of complex syntactic information in machine-learning tasks. However, such models are highly sensitive to the type and size of syntactic structure used.
Shouxun, Lin +5 more
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Hierarchical Kernel and Sub-kernels [PDF]
, 2017 This paper shows the theoretical development of hierarchy by kernels and an algorithm used to obtain an interesting class or partition from a hierarchy.
Francisco Casanova-del-Angel +1 more
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General Nonlocal Probability of Arbitrary Order. [PDF]
Entropy (Basel), 2023 Tarasov VE.
europepmc +1 more source