Representation of the inferred relationships in a map‐like space
Sign Up to like & getrecommendations! Published in 2023 at "Human Brain Mapping"
DOI: 10.1002/hbm.26309
Abstract: A cognitive map is an internal representation of the external world that guides flexible behavior in a complex environment. Cognitive map theory assumes that relationships between entities can be organized using Euclidean‐based coordinates. Previous studies… read more here.
Keywords: representation; space; euclidean distance; cognitive map ... See more keywords
Euclidean Distance Degree and Mixed Volume
Sign Up to like & getrecommendations! Published in 2021 at "Foundations of Computational Mathematics"
DOI: 10.1007/s10208-021-09534-8
Abstract: We initiate a study of the Euclidean distance degree in the context of sparse polynomials. Specifically, we consider a hypersurface $$f=0$$ f = 0 defined by a polynomial f that is general given its support, such… read more here.
Keywords: distance degree; mixed volume; euclidean distance;
Comparing euclidean distance and nearest neighbor algorithm in an expert system for diagnosis of diabetes mellitus.
Sign Up to like & getrecommendations! Published in 2020 at "Enfermeria clinica"
DOI: 10.1016/j.enfcli.2019.07.121
Abstract: OBJECTIVE Increasing sugar levels in the body which exceeds the normal limit is a metabolic disease commonly called diabetes mellitus. Long-term diabetes mellitus is one of the causes of other diseases such as liver, heart… read more here.
Keywords: nearest neighbor; system; similarity; euclidean distance ... See more keywords
SAR Automatic Target Recognition Based on Euclidean Distance Restricted Autoencoder
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2670083
Abstract: Deep learning algorithms have been introduced into target recognition of synthetic aperture radar (SAR) images for extracting deep features because of its accuracy on various recognition problems with sufficient training samples. However, applying deep structures… read more here.
Keywords: based euclidean; euclidean distance; recognition; target recognition ... See more keywords
EDM-Fuzzy: An Euclidean Distance Based Multiscale Fuzzy Entropy Technology for Diagnosing Faults of Industrial Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3009139
Abstract: Sample entropy (SampEn) technologies have been widely applied in diagnosing the faults of industrial systems. However, there are two disadvantages of these technologies. First, all of these technologies measure the distance of two vectors solely… read more here.
Keywords: edm fuzzy; diagnosing faults; distance; euclidean distance ... See more keywords
Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3021514
Abstract: Indoor positioning systems (IPSs) suffer from a lack of standard evaluation procedures enabling credible comparisons: this is one of the main challenges hindering their widespread market adoption. Traditionally, accuracy evaluation is based on positioning errors… read more here.
Keywords: distance; euclidean distance; error; beyond euclidean ... See more keywords
Relative Euclidean Distance With Application to TOPSIS and Estimation Performance Ranking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.3017814
Abstract: To extend existing distance metrics in the $L^{p}$ space, we define a novel distance, named relative Euclidean distance (RED), and prove that it is positive definite, symmetric, and satisfies the triangle inequality. This distance has… read more here.
Keywords: tex math; euclidean distance; distance; relative euclidean ... See more keywords
Kriging Model with Fractional Euclidean Distance Matrices
Sign Up to like & getrecommendations! Published in 2019 at "Informatica"
DOI: 10.15388/informatica.2019.210
Abstract: Abstract. The multidimensional data model for kriging is developed using fractional Euclidean distance matrices (FEDM). The properties of FEDM are studied by means of the kernel matrix mehod. It has been shown that the factorization… read more here.
Keywords: fractional euclidean; distance; euclidean distance; kriging model ... See more keywords
Aplikasi Pengenalan Jenis Tanah Untuk Lahan Pertanian Dengan Menggunakan Metode Euclidean Distance
Sign Up to like & getrecommendations! Published in 2018 at "Mind"
DOI: 10.26760/mindjournal.v1i1.26
Abstract: Tiap jenis tanah memiliki tekstur dan nilai manfaat yang berbeda-berbeda. Dalam melakukan identifikasi jenis tanah biasanya petugas penyuluh pertanian menggunakan cara manual dengan melakukan penelitian langsung ke lapangan dan melakukan uji laboratorium, hal ini menyebabkan… read more here.
Keywords: tanah; yang; jenis tanah; euclidean distance ... See more keywords
Function Analysis of the Euclidean Distance between Probability Distributions
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DOI: 10.3390/e20010048
Abstract: Minimization of the Euclidean distance between output distribution and Dirac delta functions as a performance criterion is known to match the distribution of system output with delta functions. In the analysis of the algorithm developed… read more here.
Keywords: analysis; euclidean distance; output; gradient ... See more keywords
An Enhanced Quantum K-Nearest Neighbor Classification Algorithm Based on Polar Distance
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25010127
Abstract: The K-nearest neighbor (KNN) algorithm is one of the most extensively used classification algorithms, while its high time complexity limits its performance in the era of big data. The quantum K-nearest neighbor (QKNN) algorithm can… read more here.
Keywords: euclidean distance; quantum nearest; distance; polar distance ... See more keywords