Results 21 to 30 of about 875,579 (253)

Parallel Hierarchical Genetic Algorithm for Scattered Data Fitting through B-Splines

open access: yesApplied Sciences, 2019
Curve fitting to unorganized data points is a very challenging problem that arises in a wide variety of scientific and engineering applications. Given a set of scattered and noisy data points, the goal is to construct a curve that corresponds to the best
Jose Edgar Lara-Ramirez   +5 more
doaj   +1 more source

Noise reduction method of shearer’s cutting sound signal under strong background noise

open access: yesMeasurement + Control, 2022
In coal and rock recognition technology, the acquisition of sound signals is affected by background noise. It is challenging to extract cutting features and accurately identify cutting patterns effectively.
Changpeng Li   +3 more
doaj   +1 more source

Principled Decision-Making Workflow with Hierarchical Bayesian Models of High-Throughput Dose-Response Measurements

open access: yesEntropy, 2021
We present a case study applying hierarchical Bayesian estimation on high-throughput protein melting-point data measured across the tree of life. We show that the model is able to impute reasonable melting temperatures even in the face of unreasonably ...
Eric J. Ma, Arkadij Kummer
doaj   +1 more source

Curve reconstruction from noisy samples

open access: yesProceedings of the nineteenth annual symposium on Computational geometry, 2003
The paper presents a new algorithm to reconstruct a collection of disjoint smooth closed curves from noisy samples. A probabilistic model of noisy samples is proposed. Moreover it is proved that the reconstruction is faithful with probability close to 1 as the number of samples increases.
Siu-Wing Cheng   +5 more
openaire   +5 more sources

A noisy principal component analysis for forward rate curves [PDF]

open access: yesEuropean Journal of Operational Research, 2015
Principal Component Analysis (PCA) is the most common nonparametric method for estimating the volatility structure of Gaussian interest rate models. One major difficulty in the estimation of these models is the fact that forward rate curves are not directly observable from the market so that non-trivial observational errors arise in any statistical ...
Marcio Laurini, Alberto Ohashi
openaire   +3 more sources

Fitting algebraic curves to noisy data

open access: yesProceedings of the thiry-fourth annual ACM symposium on Theory of computing, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sanjeev Arora, Subhash Khot
openaire   +1 more source

Automatic Extraction of Surface Wave Dispersion Curves Using Unsupervised Learning and High‐Resolution Tau‐p Transform

open access: yesEarth and Space Science, 2023
Dispersion curves for surface wave recordings are required input for many surface wave inversion methods to image subsurface shear wave velocity distribution, while the conventional extraction of dispersion curves requires significant amount of human ...
Hai Yao   +4 more
doaj   +1 more source

Detecting Faint Curved Edges in Noisy Images [PDF]

open access: yes, 2010
A fundamental question for edge detection is how faint an edge can be and still be detected. In this paper we offer a formalism to study this question and subsequently introduce a hierarchical edge detection algorithm designed to detect faint curved edges in noisy images. In our formalism we view edge detection as a search in a space of feasible curves,
Sharon Alpert   +3 more
openaire   +1 more source

noisy-kgs-benchmark

open access: yes, 2023
Authors: Andrea Lenzi, Stefano Faralli, Paola Velardi Affiliation: Computer Science Department, Sapienza University of Rome, Rome, Italy Description: this is a repository for preserving, sharing, and maintaining a benchmark of Knowledge Graph Emabedding ...
Paola Velardi (15425320)   +2 more
core   +1 more source

Sample Reduction for Physiological Data Analysis Using Principal Component Analysis in Artificial Neural Network

open access: yesApplied Sciences, 2021
With its potential, extensive data analysis is a vital part of biomedical applications and of medical practitioner interpretations, as data analysis ensures the integrity of multidimensional datasets and improves classification accuracy; however, with ...
Cid Mathew Santiago Adolfo   +3 more
doaj   +1 more source

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