Results 11 to 20 of about 1,037 (242)
Design-based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator [PDF]
Nearest neighbor spatial interpolation for mapping continuous populations and finite populations of areas or units is approached from a design-based perspective, that is, populations are fixed, and uncertainty stems from the sampling scheme adopted to ...
Fattorini L. +3 more
core +6 more sources
An integrated approach to image quality: comparative analysis of bilinear and nearest neighbor interpolation [PDF]
Pixel transitions are critical in image processing, largely depending on interpolation methods to ensure smoothness and clarity. This work focuses on two widely used image interpolation techniques: nearest neighbor interpolation and bilinear ...
Wusat Ullah +3 more
doaj +2 more sources
An Adaptable k-Nearest Neighbors Algorithm for MMSE Image Interpolation [PDF]
We propose an image interpolation algorithm that is nonparametric and learning-based, primarily using an adaptive k-nearest neighbor algorithm with global considerations through Markov random fields. The empirical nature of the proposed algorithm ensures
Ni, Karl S. +3 more
core +4 more sources
Many astrophysical applications require efficient yet reliable forecasts of stellar evolution tracks. One example is population synthesis, which generates forward predictions of models for comparison with observations.
Maltsev, K. +15 more
core +2 more sources
Reviewing past researches on quantum image scaling, only 2D images are studied. And, in a quantum system, the processing speed increases exponentially since parallel computation can be realized with superposition state when compared with classical ...
Ri-Gui Zhou, Ping Fan, Canyun Tan
core +2 more sources
Benefit of Interpolation in Nearest Neighbor Algorithms
Under review as a conference paper at ICLR ...
Yue Xing 0002 +2 more
openaire +3 more sources
Interpolation With Just Two Nearest Neighboring Weighted Fuzzy Rules [PDF]
Fuzzy rule interpolation (FRI) enables sparse fuzzy rule-based systems to derive an interpolated conclusion using neighboring rules, when presented with an observation that matches none of the given rules. The efficacy of FRI has been further empowered by the recent development of weighted FRI techniques, particularly the one that introduces attribute ...
Fangyi Li +4 more
openaire +1 more source
AMPSO: A new Particle Swarm Method for Nearest Neighborhood Classification [PDF]
Nearest prototype methods can be quite successful on many pattern classification problems. In these methods, a collection of prototypes has to be found that accurately represents the input patterns.
Galván, Inés M. +2 more
core +1 more source
The interpolation of fine-grained air quality has significant prospects in the area of air quality monitoring. The solution to this problem can effectively monitor the air quality of the areas by sparse air quality monitoring stations, so as to reduce ...
Canyang Guo +3 more
doaj +1 more source
INDEX QUALITY ASSESMENT CITRA TERINTERPOLASI (SSIM dan FSIM)
Ada sejumlah aplikasi dalam pengenalan pola yang membutuhkan citra dengan ukuran tertentu. Ukuran citra menentukan hasil dari pengenalan pola suatu sistem. Suatu metode interpolasi digunakan untuk menyesuaikan ukuran suatu citra.
Meirista Wulandari
doaj +1 more source

