Results 51 to 60 of about 114,723 (161)
Fractional Euclidean Distance Matrices Extrapolator for Scattered Data
Jaunųjų Mokslininkų Darbai, 2017 The paper deals with application of fractional distance matrices to construct the efficient extrapolator of scattered data. The properties of fractional distance matrices are studied in order to develop the linear extrapolator.
Natalija Pozniak, Leonidas Sakalauskas
doaj +1 more source
Effectiveness of corridors varies among phytosociological plant groups and dispersal syndromes. [PDF]
PLoS ONE, 2018 In agricultural landscapes, semi-natural habitats are scarce and remaining habitat patches are largely isolated. However, linear landscape elements might facilitate dispersal of plant species through the agricultural landscape matrix. We investigated the
Jan Thiele +2 more
doaj +1 more source
Eigenvalues of Euclidean distance matrices
Journal of Approximation Theory, 1992 Let \(x_ 1,x_ 2,\dots,x_ n\) be \(n\) points (\(n>1\)) in \(R^ d\) with \(\| x_ i-x_ j\|\geq\varepsilon\) for \(i\neq j\). It is proved that the matrix \(A=(\| x_ i-x_ j\|)_{i,j=1,\dots,n}\) has an inverse \(A^{-1}\), whose norm (as an operator on \(\ell^ n_ 2\)) verifies the inequality \(\| A^{-1}\|\leq c\sqrt{d}/\varepsilon\), where \(c\) is an ...
openaire +1 more source
Selecciones MatemáticasIn this work, the authors perturb the Euclidean plane with a constant vector field of the form W = (0, ε) with 0 ≤ ε < 1, which can be interpreted as wind currents affecting the movement of ships in a constant unidirectional way.
Dik D. Lujerio Garcia +3 more
doaj +1 more source
Eleven Euclidean distances are enough
Journal of Number Theory, 2008 8 pages, 3 ...
openaire +3 more sources
MATEC Web of Conferences, 2017 Most EEG–based motor imagery classification research focuses on the feature extraction phase of machine learning, neglecting the crucial part for accurate classification which is the classification.
Md Isa Nurul E’zzati +3 more
doaj +1 more source
Assessment of gene order computing methods for Alzheimer's disease
BMC Medical Genomics, 2013 Background Computational genomics of Alzheimer disease (AD), the most common form of senile dementia, is a nascent field in AD research. The field includes AD gene clustering by computing gene order which generates higher quality gene clustering patterns
Hu Benqiong +9 more
doaj +1 more source
Exploring the Potential of Spectral Classification in Estimation of Soil Contaminant Elements
Remote Sensing, 2017 Soil contamination by arsenic and heavy metals is an increasingly severe environmental problem. Efficiently investigation of soil contamination is the premise of soil protection and further the foundation of food security.
Weichao Sun +3 more
doaj +1 more source
Research on 3D Point Cloud De-Distortion Algorithm and Its Application on Euclidean Clustering
IEEE Access, 2019 The 3D point cloud data collected by 3D lidars have become a significant resource for autonomous vehicles to acquire road information. But these data tend to be inaccurate due to the turning or moving of autonomous vehicles while the lidar is working ...
Long Wen, Lei He, Zhenhai Gao
doaj +1 more source
Euclidean Distance Degree in Manifold Optimization
SIAM Journal on Optimization14 ...
Zehua Lai, Lek-Heng Lim, Ke Ye
openaire +2 more sources