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Class noise detection by multiple voting

2013 Ninth International Conference on Natural Computation (ICNC), 2013
Ensemble learning has been used for identifying and eliminating mislabeled instances. Its main idea is to use a set of learning algorithms to create classifiers which serve as noise filters. The diversities of classifiers lead to the diversities of their judgments on noises.
Donghai Guan, Weiwei Yuan, Linshan Shen
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Fast algorithm for multiplicative noise removal

Journal of Visual Communication and Image Representation, 2012
In this work, we consider a variational restoration model for multiplicative noise removal problem. By using a maximum a posteriori estimator, we propose a strictly convex objective functional whose minimizer corresponds to the denoised image we want to recover.
Bao-Li Shi, Lihong Huang, Zhi-Feng Pang
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Sparsity-driven multiplicative noise reduction

2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
Speckle noise formed in Synthetic Aperture Radar (SAR) images makes visual and automatic analyses complicated. Thus, reducing speckle noise in homogeneous regions while preserving features such as edges and point scatterers is important as a pre-processing step.
Gülay Aksoy, Fatih Nar
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Multiples: Signal or noise?

Geophysics, 2014
ABSTRACT Migration and migration inversion are the seismic processing methods for structural determination and subsequent amplitude analysis, respectively. To date, the most well-founded and physically interpretable migration method is based on predicting a coincident source and receiver experiment at depth at time equals zero.
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A theory of multiplication noise

IEEE Transactions on Electron Devices, 1990
A general theory of noise in avalanche photodiodes (APDs), photomultipliers, and other cascaded multiplication devices in which ionization is independent of a carrier's history is presented. The theory is based on a composition law that allows the calculation of the gain distribution of a multilayer structure from the known distributions for each layer.
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Noise Sensitivity and Multiple Chemical Sensitivity

Noise & Vibration Worldwide, 2013
Noise sensitivity is a personality trait covering attitudes to noise in general. Multiple chemical sensitivity (MCS) is the most commonly used label for clinical chemical intolerance. This study aimed to investigate if the Weinstein's Noise Sensitivity Scale and Quick Environmental Exposure and Sensitivity Inventory's (QEESI) Chemical Intolerance ...
Vuorinen Heikki S   +11 more
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Noise composed of multiplication of two dichotomous noises

Chinese Physics B, 2008
In this paper, we introduce a noise which is composed of multiplication of two dichotomous noises, and derive the probability density and the statistical properties of this noise. The obtained results can help study the resonant activation phenomenon, the phenomenon of stochastic resonance, the transport of particles, and the nonequilibrium (phase ...
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Noise reduction by multiplicative waveforms decomposition

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
This paper introduces a novel multiplicative noise reduction method based on a particular association of structural and statistical analysis. The structural analysis is performed by a new, multiplicative matching pursuit decomposition (MMPD), that decomposes images containing the intrinsic variation into a nonlinear expansion of waveforms selected from
Amina Serir, Boualem Sansal
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The multiple imputation quantitative noise corrector

Intelligent Data Analysis, 2007
Relatively little attention has been given in the data mining literature to noise handling procedures that deal specifically with a continuous dependent variable. We present a novel procedure that addresses the problem of detecting and correcting noise when the outcome variable is continuous.
Taghi M. Khoshgoftaar   +3 more
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Optical dromions with multiplicative white noise

Engineering Computations
Purpose The purpose of this article is to explore the optical soliton solutions of the stochastic (2 + 1)-dimensional nonlinear Schrödinger equation (NLSE) with Kerr law media influenced by multiplicative white noise in the Itô sense (mw-Itô).
Selvi Altun   +4 more
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