Results 11 to 20 of about 875,579 (253)

Curve Detection in a Noisy Image

open access: yesVision Research, 1997
In this paper we propose a new theory of the Gestalt law of good continuation. In this theory perceptual processes are modeled by an exponential pyramid algorithm. To test the new theory we performed three experiments. The subject's task was to detect a target (a set of dots arranged along a straight or curved line) among background dots. Detectability
Zygmunt Pizlo
exaly   +3 more sources

Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators

open access: yesFrontiers in Physiology, 2021
Calibration of cardiac electrophysiology models is a fundamental aspect of model personalization for predicting the outcomes of cardiac therapies, simulation testing of device performance for a range of phenotypes, and for fundamental research into ...
Sam Coveney   +5 more
doaj   +1 more source

Fast Surface Reconstruction Technique Based on Anderson Accelerated I-PIA Method

open access: yesIEEE Access, 2023
For curve and surface reconstruction, the implicit progressive-iterative approximation (I-PIA) is widely used in many applications because it is efficient in data fitting and handling noise and missing data. By introducing Anderson extrapolation to the I-
Jingguo Dai, Yeqing Yi, Chengzhi Liu
doaj   +1 more source

Detection of Non-Stationary GW Signals in High Noise From Cohen’s Class of Time–Frequency Representations Using Deep Learning

open access: yesIEEE Access, 2022
Analysis of non-stationary signals in a noisy environment is a challenging research topic in many fields often requiring simultaneous signal decomposition in the time and frequency domain.
Nikola Lopac   +3 more
doaj   +1 more source

Research on rapid generation of 3D models based on art and design cognitive models [PDF]

open access: yesSHS Web of Conferences, 2023
Human-computer interaction interfaces based on hand-drawing are currently being used more and more widely. Hand-drawing is a natural and easy way for designers to do this.
Wu Jiajia
doaj   +1 more source

An Anti-Noise Travel-Time Potential Energy Clustering Algorithm [PDF]

open access: yesJisuanji gongcheng, 2020
Travel-Time based Hierarchical Clustering(TTHC) is a potential energy clustering algorithm,it has a good clustering effect,but the algorithm cannot identify the noisy data points in the dataset.Therefore,this paper proposes an anti-noise travel-time ...
LU Shentao, GE Hongwei
doaj   +1 more source

Curvature Estimation in Noisy Curves [PDF]

open access: yes, 2007
An algorithm of estimation of the curvature at each point of a general discrete curve in O(n log2 n) is proposed. It uses the notion of blurred segment, extending the definition of segment of arithmetic discrete line to be adapted to noisy curves. The proposed algorithm relies on the decomposition of a discrete curve into maximal blurred segments also ...
Nguyen, Thanh Phuong   +1 more
openaire   +2 more sources

A LOW-COST MARKERLESS TRACKING SYSTEM FOR TRAJECTORY INTERPRETATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
The tracking abilities of 1st generation Kinect sensors have been tested over common trajectories of folk dances. Trajectories related errors, including offset, curve shape, noisy points are investigated and mitigated using well-known signal processing ...
A. Laggis   +3 more
doaj   +1 more source

Study on risk assessment of expressway nighttime maintenance construction: A Dynamic Bayesian Network model [PDF]

open access: yesE3S Web of Conferences, 2021
There are many risk factors and large uncertainties in expressway nighttime maintenance construction(ENMC), and the state of risk factors will change dynamically with time.
Tian Zhen   +4 more
doaj   +1 more source

Learning the smoothness of noisy curves with application to online curve estimation

open access: yesElectronic Journal of Statistics, 2022
Combining information both within and across trajectories, we propose a simple estimator for the local regularity of the trajectories of a stochastic process. Independent trajectories are measured with errors at randomly sampled time points. Non-asymptotic bounds for the concentration of the estimator are derived.
Golovkine, Steven   +2 more
openaire   +3 more sources

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