Results 11 to 20 of about 131,785 (256)
Multiple Kernel
IEEE Access, 2021 Multiple kernel clustering algorithms achieve promising performances by exploring the complementary information from kernel matrices corresponding to each data view.
Qiyuan Ou, Long Gao, En Zhu
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Mechanical properties of Bertholletia Excelsa H. B. K. kernels stored in different packagings
Food Science and Technology, 2022 Abstract Evaluate texture in relation to the hardness, fracturability, cohesiveness, elasticity and chewiness parameters of Brazil nut kernels stored in different packagings over time of 240 days. The experimental compression tests were conducted in 15 kernels for each treatment using a texturometer equipped with a load cell of 25 kg.
Kênia Borges de OLIVEIRA +4 more
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Efficient High-Dimensional Kernel k-Means++ with Random Projection
Applied Sciences, 2021 Using random projection, a method to speed up both kernel k-means and centroid initialization with k-means++ is proposed. We approximate the kernel matrix and distances in a lower-dimensional space Rd before the kernel k-means clustering motivated by ...
Jan Y. K. Chan, Alex Po Leung, Yunbo Xie
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A KERNEL METHOD BASED ON TOPIC MODEL FOR VERY HIGH SPATIAL RESOLUTION (VHSR) REMOTE SENSING IMAGE CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 A kernel-based method for very high spatial resolution remote sensing image classification is proposed in this article. The new kernel method is based on spectral-spatial information and structure information as well, which is acquired from topic model,
L. Wu, L. Shen, L. Shen, Z. Li
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On the Existence of (k,l)-Kernels in Infinite Digraphs: A Survey
Discussiones Mathematicae Graph Theory, 2014 Let D be a digraph, V (D) and A(D) will denote the sets of vertices and arcs of D, respectively.
Galeana-Sánchez H., Hernández-Cruz C.
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A feasible k-means kernel trick under non-Euclidean feature space
International Journal of Applied Mathematics and Computer Science, 2020 This paper poses the question of whether or not the usage of the kernel trick is justified. We investigate it for the special case of its usage in the kernel k-means algorithm.
Kłopotek Robert +2 more
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The Nyström Kernel Conjugate Gradient Algorithm Based on
IEEE Access, 2020 The kernel conjugate gradient (KCG) algorithms have been proposed to improve the convergence rate and the filtering accuracy of kernel adaptive filters (KAFs) efficiently.
Fuliang He, Kui Xiong, Shiyuan Wang
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A 9k Kernel for Nonseparating Independent Set in Planar Graphs [PDF]
Theoretical Computer Science, 2012 An extended abstract was presented at WG ...
Kowalik, Łukasz, Mucha, Marcin
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Enumeration and Decidable Properties of Automatic Sequences [PDF]
, 2011 We show that various aspects of k-automatic sequences -- such as having an unbordered factor of length n -- are both decidable and effectively enumerable. As a consequence it follows that many related sequences are either k-automatic or k-regular.
A. Carpi +21 more
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Some Results on 4-Transitive Digraphs
Discussiones Mathematicae Graph Theory, 2017 Let D be a digraph with set of vertices V and set of arcs A. We say that D is k-transitive if for every pair of vertices u, v ∈ V, the existence of a uv-path of length k in D implies that (u, v) ∈ A.
García-Vázquez Patricio Ricardo +1 more
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