Results 21 to 30 of about 875,579 (253)
Parallel Hierarchical Genetic Algorithm for Scattered Data Fitting through B-Splines
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
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Noise reduction method of shearer’s cutting sound signal under strong background noise
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
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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
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Curve reconstruction from noisy samples
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
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A noisy principal component analysis for forward rate curves [PDF]
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
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Fitting algebraic curves to noisy data
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sanjeev Arora, Subhash Khot
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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
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Detecting Faint Curved Edges in Noisy Images [PDF]
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
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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
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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
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