Relevant bibliographies by topics / Estimation de normales

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Estimation de normales'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Estimation de normales"

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Bolduc, Denis, and Mustapha Kaci. "Estimation des modèles probit polytomiques : un survol des techniques." Articles 69, no. 3 (2009): 161–91. http://dx.doi.org/10.7202/602113ar.

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RÉSUMÉ Parce qu’il admet des structures très générales d’interdépendance entre les modalités, le probit polytomique (MNP) fournit une des formes les plus intéressantes pour modéliser les choix discrets qui découlent d’une maximisation d’utilité aléatoire. L’obstacle majeur et bien connu dans l’estimation de ce type de modèle tient à la complexité que prennent les calculs lorsque le nombre de modalités considérées est élevé. Cette situation est due essentiellement à la présence d’intégrales normales multidimensionnelles qui définissent les probabilités de sélection. Au cours des deux dernières
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Camero Jiménez, Carlos W., Erick A. Chacón Montalvan, Vilma S. Romero Romero, and Luisa E. Quispe Ortiz. "METODOLOGÍA PARA LA ESTIMACIÓN DE ÍNDICES DE CAPACIDAD EN PROCESOS PARA DATOS NO NORMALES." Revista Cientifica TECNIA 24, no. 1 (2017): 43. http://dx.doi.org/10.21754/tecnia.v24i1.32.

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La globalización ha ido intensificando la competencia en muchos mercados. Con el fin de mantener su competitividad, las empresas buscan satisfacer las necesidades de los clientes mediante el cumplimiento de los requerimientos del mercado. En este contexto, los Índices de Capacidad de Proceso (ICP) juegan un rol trascendental en el análisis de capacidad de los procesos. Para el caso de datos no normales existen dos enfoques generales basados en transformaciones (Transformación de Box –Cox y de Johnson) y percentiles (Sistemas de distribuciones de Pearson y de Burr). Sin embargo, estudios anteri
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Notton, Gilles, Ionut Caluianu, Iolanda Colda, and Sorin Caluianu. "Influence d’un ombrage partiel sur la production électrique d’un module photovoltaïque en silicium monocristallin." Journal of Renewable Energies 13, no. 1 (2023): 49–62. http://dx.doi.org/10.54966/jreen.v13i1.177.

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Le développement du marché photovoltaïque nécessite de connaître parfaitement la production électrique de ces systèmes sur différents sites en particulier pour estimer sa rentabilité économique. Cette estimation précise ne peut se faire qu’en prenant en compte les effets d’ombrage qui ont des conséquences dramatiques sur la puissance électrique délivrée. Dans cet article, nous avons testé un modèle double-diode de courbes I-V sur un module photovoltaïque au silicium monocristallin (BP585F) sous des conditions normales d’éclairement; puis après une brève explication du comportement électrique d
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García, Jhon Jario. "Los estudios de acontecimiento y la importancia de la metodología de estimación." Lecturas de Economía, no. 70 (September 11, 2009): 223–35. http://dx.doi.org/10.17533/udea.le.n70a2262.

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Esta nota realiza una revisión bibliográfica a partir de la literatura existente sobre los estudios de acontecimiento (event study). Su foco principal es la importancia de la metodología utilizada para la estimación de los retornos anormales en el largo plazo, ya que en este periodo los estudios de acontecimientos son sensibles al proceso de generación de los retornos Savickas, 2003 y Aktas et al., 2007). Se encuentra que, en el largo plazo se debe controlar el impacto de acontecimientos sin relación, con la estimación de la ventana para los retornos normales, donde la mejor alternativa para l
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Wu, Zhaohao, Deyun Zhong, Zhaopeng Li, Liguan Wang, and Lin Bi. "Orebody Modeling Method Based on the Normal Estimation of Cross-Contour Polylines." Mathematics 10, no. 3 (2022): 473. http://dx.doi.org/10.3390/math10030473.

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The normal estimation of cross-contour polylines largely determines the implicit orebody modeling result. However, traditional methods cannot estimate normals effectively due to the complex topological adjacency relationship of the cross-contour polylines manually interpreted in the process of exploration and production. In this work, we present an orebody implicit modeling method based on the normal estimation of cross-contour polylines. The improved method consists of three stages: (1) estimating the normals of cross-contour polylines by using the least square plane fitting method based on p
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SAUVANT, D., P. CHAPOUTOT, and H. ARCHIMEDE. "La digestion des amidons par les ruminants et ses conséquences." INRAE Productions Animales 7, no. 2 (1994): 115–24. http://dx.doi.org/10.20870/productions-animales.1994.7.2.4161.

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Il est maintenant acquis que la digestion ruminale de l’amidon varie largement en fonction de la nature de l’aliment et de son traitement technologique. La mesure in sacco de la dégradation théorique de l’amidon (X,%) permet de prédire la digestibilité préintestinale (Y,%) de ce constituant : Y = 0,483 X + 45,62. Les différences sur les paramètres de la digestion de l’amidon peuvent se répercuter sur la protéosynthèse microbienne, le profil fermentaire et la stabilité de l’écosystème ruminal. La digestibilité de l’amidon entrant dans l’intestin grêle n’est que partielle et semble révéler une l
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MITRA, NILOY J., AN NGUYEN, and LEONIDAS GUIBAS. "ESTIMATING SURFACE NORMALS IN NOISY POINT CLOUD DATA." International Journal of Computational Geometry & Applications 14, no. 04n05 (2004): 261–76. http://dx.doi.org/10.1142/s0218195904001470.

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In this paper we describe and analyze a method based on local least square fitting for estimating the normals at all sample points of a point cloud data (PCD) set, in the presence of noise. We study the effects of neighborhood size, curvature, sampling density, and noise on the normal estimation when the PCD is sampled from a smooth curve in ℝ2or a smooth surface in ℝ3, and noise is added. The analysis allows us to find the optimal neighborhood size using other local information from the PCD. Experimental results are also provided.
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Shi, Tiandong, Deyun Zhong, and Liguan Wang. "Geological Modeling Method Based on the Normal Dynamic Estimation of Sparse Point Clouds." Mathematics 9, no. 15 (2021): 1819. http://dx.doi.org/10.3390/math9151819.

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The effect of geological modeling largely depends on the normal estimation results of geological sampling points. However, due to the sparse and uneven characteristics of geological sampling points, the results of normal estimation have great uncertainty. This paper proposes a geological modeling method based on the dynamic normal estimation of sparse point clouds. The improved method consists of three stages: (1) using an improved local plane fitting method to estimate the normals of the point clouds; (2) using an improved minimum spanning tree method to redirect the normals of the point clou
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Wu, Xianyu, Penghao Li, Xin Zhang, Jiangtao Chen, and Feng Huang. "Three Dimensional Shape Reconstruction via Polarization Imaging and Deep Learning." Sensors 23, no. 10 (2023): 4592. http://dx.doi.org/10.3390/s23104592.

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Deep-learning-based polarization 3D imaging techniques, which train networks in a data-driven manner, are capable of estimating a target’s surface normal distribution under passive lighting conditions. However, existing methods have limitations in restoring target texture details and accurately estimating surface normals. Information loss can occur in the fine-textured areas of the target during the reconstruction process, which can result in inaccurate normal estimation and reduce the overall reconstruction accuracy. The proposed method enables extraction of more comprehensive information, mi
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Zandy, Moe, Vicky Chang, Deepa P. Rao, and Minh T. Do. "Exposition à la fumée du tabac et sommeil : estimation de l’association entre concentration de cotinine urinaire et qualité du sommeil." Promotion de la santé et prévention des maladies chroniques au Canada 40, no. 3 (2020): 77–89. http://dx.doi.org/10.24095/hpcdp.40.3.02f.

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Introduction La majorité des études sur l’exposition à la fumée du tabac et la qualité du sommeil se fondent sur le tabagisme autodéclaré, ce qui peut entraîner des erreurs de classification de l’exposition et des biais liés à l’autodéclaration. L’objectif de cette étude consistait à étudier les associations entre la concentration de cotinine urinaire – un marqueur biologique de l’exposition à la fumée du tabac – et diverses mesures de la qualité du sommeil, soit le temps de sommeil, la continuité ou l’efficacité du sommeil, la satisfaction à l’égard du sommeil et le degré de vigilance durant
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Dissertations / Theses on the topic "Estimation de normales"

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Criticou, Doukissa. "Estimateurs à rétrécisseurs (cas de distributions normales) : une classe d'estimateurs bayesiens." Rouen, 1986. http://www.theses.fr/1986ROUES050.

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On s'intéresse au traitement bayésien de l'estimation de la moyenne dans le modèle linéaire gaussien, quand: 1) la variance est connue à un facteur multiplicatif près; 2) le coût utilisé est quadratique (inverse de la variance); 3) la probabilité a priori est un mélange de lois gaussiennes
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Rieux, Frédéric. "Processus de diffusion discret : opérateur laplacien appliqué à l'étude de surfaces." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20201/document.

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Le contexte est la géométrie discrète dans Zn. Il s'agit de décrire les courbes et surfaces discrètes composées de voxels: les définitions usuelles de droites et plans discrets épais se comportent mal quand on passe à des ensembles courbes. Comment garantir un bon comportement topologique, les connexités requises, dans une situation qui généralise les droites et plans discrets?Le calcul de données sur ces courbes, normales, tangentes, courbure, ou des fonctions plus générales, fait appel à des moyennes utilisant des masques. Une question est la pertinence théorique et pratique de ces masques.
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Charton, Jerome. "Etude de caractéristiques saillantes sur des maillages 3D par estimation des normales et des courbures discrètes." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0333/document.

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Dans l'objectif d'améliorer et d'automatiser la chaîne de reproductiond'objet qui va de l'acquisition à l'impression 3D. Nous avons cherché à caractériserde la saillance sur les objets 3D modélisés par la structure d'un maillage 3D.Pour cela, nous avons fait un état de l'art des méthodes d'estimation des proprié-tés différentielles, à savoir la normale et la courbure, sur des surfaces discrètes sousla forme de maillage 3D. Pour comparer le comportement des différentes méthodes,nous avons repris un ensemble de critères de comparaison classique dans le domaine,qui sont : la précision, la converg
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Caracotte, Jordan. "Reconstruction 3D par stéréophotométrie pour la vision omnidirectionnelle." Electronic Thesis or Diss., Amiens, 2021. http://www.theses.fr/2021AMIE0031.

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Cette thèse s'intéresse à la reconstruction 3D par stéréophotométrie et à la vision omnidirectionnelle. La stéréophotométrie repose sur l'exploitation de plusieurs photographies d'une scène, capturées sous différents éclairages par un même appareil immobile. La vision omnidirectionnelle rassemble les capteurs ainsi que les assemblages de caméras qui permettent de faire l'acquisition en une image d'une très grande portion de l'environnement autour de l'appareil. En s'appuyant sur quatre décennies de travaux en stéréophotométrie et en utilisant le modèle unifié pour la projection centrale, nous
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Terzakis, Demètre. "Estimateurs à rétrécisseurs (cas de distributions normales à variance connue à un facteur près) : contrôle de l'emploi de la différence entre l'observation et l'estimation des moindres carrés." Rouen, 1987. http://www.theses.fr/1987ROUES015.

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Dans le cadre général de l'estimation de la moyenne (supposée appartenir à v, sous-espace vectoriel strict de l'espace des observations) d'une loi normale multidimensionnelle y de variance connue à un facteur multiplicatif près, on cherche des conditions de domination de l'estimateur des moindres carrés t par des estimateurs à rétrécisseurs (autrement dit de James-Stein) de la forme t(y)-h(t(y), y-t(y))c(t(y)), où c est un endomorphisme de v. De nombreuses conditions "classiques" de domination apparaissent comme des corollaires des notres dans le cas ou t(y) et y-t(y) n'interviennent dans l'ex
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Lemaire, Jacques. "Étude de propriétés asymptotiques en classification." Nice, 1990. http://www.theses.fr/1990NICE4379.

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L'objectif de cette thèse est l'étude de propriétés de convergence des estimateurs construits dans un problème de classification d'un nombre fini de données, lorsque ce nombre tend vers l'infini. Un cadre probabiliste, pour cette étude est d'abord précisé. Le modèle sous-jacent est celui d'une décomposition sous la forme d'un mélange, de la loi de probabilité des observations. Nous citons quelques résultats de convergence montrant dans quelle mesure, des estimations consistantes des composantes du mélange étudié, peuvent produire des règles de classement asymptotiquement optimales. Ce résultat
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Valdivia, Paola Tatiana Llerena. "Correção de normais para suavização de nuvens de pontos." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19032014-145046/.

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Nos anos recentes, suavização de superfícies é um assunto de intensa pesquisa em processamento geométrico. Muitas das abordagens para suavização de malhas usam um esquema de duas etapas: filtragem de normais seguido de um passo de atualização de vértices para corresponder com as normais filtradas. Neste trabalho, propomos uma adaptação de tais esquemas de duas etapas para superfícies representadas por nuvens de pontos. Para isso, exploramos esquemas de pesos para filtrar as normais. Além disso, investigamos três métodos para estimar normais, analisando o impacto de cada método para estimar nor
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Fernandez-Abrevaya, Victoria. "Apprentissage à grande échelle de modèles de formes et de mouvements pour le visage 3D." Electronic Thesis or Diss., Université Grenoble Alpes, 2020. https://theses.hal.science/tel-03151303.

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Les modèles du visage 3D fondés sur des données sont une direction prometteuse pour capturer les subtilités complexes du visage humain, et une composante centrale de nombreuses applications grâce à leur capacité à simplifier des tâches complexes. La plupart des approches basées sur les données à ce jour ont été construites à partir d’un nombre limité d’échantillons ou par une augmentation par données synthétiques, principalement en raison de la difficulté à obtenir des scans 3D à grande échelle. Pourtant, il existe une quantité substantielle d’informations qui peuvent être recueillies lorsque
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Wage, Kathleen E. "Adaptive estimation of acoustic normal modes." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12096.

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Grip, Marcus. "Tyre Performance Estimation during Normal Driving." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176558.

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Driving with tyres not appropriate for the actual conditions can not only lead to accidents related to the tyres, but also cause detrimental effects on the environment via emission of rubber particles if the driving conditions are causing an unexpectedly high amount of tread wear. Estimating tyre performance in an online setting is therefore of interest, and the feasibility to estimate friction performance, velocity performance, and tread wear utilizing available information from the automotive grade sensors is investigated in this thesis. For the friction performance, a trend analysis is perf
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Books on the topic "Estimation de normales"

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Cheng, Russell. Standard Asymptotic Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0003.

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This book relies on maximum likelihood (ML) estimation of parameters. Asymptotic theory assumes regularity conditions hold when the ML estimator is consistent. Typically an additional third derivative condition is assumed to ensure that the ML estimator is also asymptotically normally distributed. Standard asymptotic results that then hold are summarized in this chapter; for example, the asymptotic variance of the ML estimator is then given by the Fisher information formula, and the log-likelihood ratio, the Wald and the score statistics for testing the statistical significance of parameter es
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Schreuder, Michiel F. Renal hypoplasia. Edited by Adrian Woolf. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0348.

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In true renal hypoplasia, normal nephrons are formed but with a deficit in total numbers. As nephron number estimation is not possible in vivo, renal size is used as a marker. A widely used definition of renal hypoplasia is kidneys with a normal appearance on ultrasound but with a size less than two standard deviations below the mean for gender, age, and body size. A distinct and severe form of renal hypoplasia is called (congenital) oligomeganephronia, which is characterized by small but normal-shaped kidneys with a marked reduction in nephron numbers (to as low as 10–20% of normal), a distin
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Walsh, Richard A. “I Am Not Sure If I Should Do DaT”. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190607555.003.0008.

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Nuclear medicine-based imaging techniques can provide an estimation of nigrostriatal tract denervation based on radionucleotide uptake in the distal presynaptic terminals of dopaminergic neurons. Although unhelpful in differentiating between differing etiologies of denervation in varied neurodegenerative disorders associated with parkinsonism, this imaging is justified in situations in which parkinsonism is believed to be drug-induced or functional or in cases in which subclinical parkinsonism is suspected. The most common clinical situation in which dopamine transporter imaging is helpful is
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Sainz, Jorge G., and Bradley P. Fuhrman. Basic Pediatric Hemodynamic Monitoring. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199918027.003.0005.

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Physiological monitoring using a variety of technological advances supplements, but does not replace, our ability to distinguish normal from abnormal physiology traditionally gleaned from physical examination. Pulse oximetry uses the wavelengths of saturated and unsaturated hemoglobin to estimate arterial oxygenation noninvasively. Similar technology included on vascular catheters provides estimation of central or mixed venous oxygenation and helps assess the adequacy of oxygen delivered to tissues. End-tidal carbon dioxide measurements contribute to the assessment of ventilation. Systemic art
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Zinn-Justin, Paul, and Jean-Bernard Zuber. Multivariate statistics. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.28.

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This article considers some classical and more modern results obtained in random matrix theory (RMT) for applications in statistics. In the classic paradigm of parametric statistics, data are generated randomly according to a probability distribution indexed by parameters. From this data, which is by nature random, the properties of the deterministic (and unknown) parameters may be inferred. The ability to infer properties of the unknown Σ (the population covariance matrix) will depend on the quality of the estimator. The article first provides an overview of two spectral statistical technique
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McCleary, Richard, David McDowall, and Bradley J. Bartos. Noise Modeling. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0003.

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Chapter 3 introduces the Box-Jenkins AutoRegressive Integrated Moving Average (ARIMA) noise modeling strategy. The strategy begins with a test of the Normality assumption using a Kolomogov-Smirnov (KS) statistic. Non-Normal time series are transformed with a Box-Cox procedure is applied. A tentative ARIMA noise model is then identified from a sample AutoCorrelation function (ACF). If the sample ACF identifies a nonstationary model, the time series is differenced. Integer orders p and q of the underlying autoregressive and moving average structures are then identified from the ACF and partial a
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Galderisi, Maurizio, and Sergio Mondillo. Assessment of diastolic function. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0009.

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Modern assessment of left ventricular (LV) diastolic function should be based on the estimation of degree of LV filling pressure (LVFP), which is the true determinant of symptoms/signs and prognosis in heart failure.In order to achieve this goal, standard Doppler assessment of mitral inflow pattern (E/A ratio, deceleration time, isovolumic relaxation time) should be combined with additional manoeuvres and/or ultrasound tools such as: ◆ Valsalva manoeuvre applied to mitral inflow pattern. ◆ Pulmonary venous flow pattern. ◆ Velocity flow propagation by colour M-mode. ◆ Pulsed wave tissue Doppler
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Henry, Frances, and Dwaine Plaza, eds. Carnival Is Woman. University Press of Mississippi, 2019. http://dx.doi.org/10.14325/mississippi/9781496825445.001.0001.

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What is most intriguing in the Carnivals today is the substantial increase in the number of women who play mas’ with some figures estimating as much as 70% of all players. This volume, probably the first of its kind to concentrate solely on women in Carnival, normalizes the contemporary Carnival especially as it is playedin Trinidad and Tobago by demonstrating not only their numerical strength but the kind of mas’that is featured. The bikini and beads or bikini and feathers or 'pretty mas' is the dominant mas’ in today’s Carnival. The players of today, mainly women, are signifying or symbolizi
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Schelbert, Heinrich R. Image-Based Measurements of Myocardial Blood Flow. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0024.

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Image-based measurements of myocardial blood flow afford the assessment of coronary circulatory function. They reflect functional consequences of coronary stenoses, diffuse epicardial vessel disease and microvascular dysfunction and structural changes and thus provide a measure of the total ischemic burden. Measured flows contain therefore clinically important predictive information. Fundamental to flow measurements are the tissue tracer kinetics, their description through tracer kinetic models, high spatial and temporal resolution imaging devices and accurate extraction of radiotracer tissue
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Joynt, Gavin M., and Gordon Y. S. Choi. Blood gas analysis in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0072.

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Arterial blood gases allow the assessment of patient oxygenation, ventilation, and acid-base status. Blood gas machines directly measure pH, and the partial pressures of carbon dioxide (PaCO2) and oxygen (PaO2) dissolved in arterial blood. Oxygenation is assessed by measuring PaO2 and arterial blood oxygen saturation (SaO2) in the context of the inspired oxygen and haemoglobin concentration, and the oxyhaemoglobin dissociation curve. Causes of arterial hypoxaemia may often be elucidated by determining the alveolar–arterial oxygen gradient. Ventilation is assessed by measuring the PaCO2 in the
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Book chapters on the topic "Estimation de normales"

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Maruyama, Yuzo, Tatsuya Kubokawa, and William E. Strawderman. "Estimation of a Normal Mean Vector Under Unknown Scale." In Stein Estimation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6077-4_3.

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Maruyama, Yuzo, Tatsuya Kubokawa, and William E. Strawderman. "Estimation of a Normal Mean Vector Under Known Scale." In Stein Estimation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6077-4_2.

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Singh, Vijay P. "Normal Distribution." In Entropy-Based Parameter Estimation in Hydrology. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1431-0_5.

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Salehi, Mahdi, Andriette Bekker, and Mohammad Arashi. "A Kernel Scale Mixture of the Skew-Normal Distribution." In Flexible Nonparametric Curve Estimation. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-66501-1_11.

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Buchholz, Dirk. "Normal Map Based Pose Estimation." In Bin-Picking. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26500-1_5.

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Wan, Chengde, Angela Yao, and Luc Van Gool. "Hand Pose Estimation from Local Surface Normals." In Computer Vision – ECCV 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46487-9_34.

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Sugasawa, Shonosuke, and Tatsuya Kubokawa. "Small Area Models for Non-normal Response Variables." In Mixed-Effects Models and Small Area Estimation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9486-9_7.

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Hand, David, and Martin Crowder. "Continuous non-normal measures: Gaussian estimation." In Practical Longitudinal Data Analysis. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-3033-0_7.

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Ladický, L’ubor, Bernhard Zeisl, and Marc Pollefeys. "Discriminatively Trained Dense Surface Normal Estimation." In Computer Vision – ECCV 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10602-1_31.

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Lachos Dávila, Víctor Hugo, Celso Rômulo Barbosa Cabral, and Camila Borelli Zeller. "Maximum Likelihood Estimation in Normal Mixtures." In Finite Mixture of Skewed Distributions. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98029-4_2.

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Conference papers on the topic "Estimation de normales"

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Bogoslavskyi, Igor, Konstantinos Zampogiannis, and Raymond Phan. "Fast and Robust Normal Estimation for Sparse LiDAR Scans." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611556.

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Wang, Meng, Xiaojie Guo, and Jiawan Zhang. "FNFORMER: A Transformer-Based Face Normal Estimator." In 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10687847.

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Huang, Xiaoyu, and Junmin Wang. "Payload Parameter Real-Time Estimation for Lightweight Vehicles." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6045.

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This paper proposes a payload parameter estimation method for lightweight vehicles (LWVs), whose dynamics and control are substantially affected by their payload variations due to the LWVs’ significantly reduced sizes and weights. Accurate and real-time estimation of payload parameters, including payload mass and its onboard planar location, will be helpful for controller designs and load condition monitoring. The proposed payload parameter estimator (PPE) is divided into two parts: tire nominal normal force estimator (NNFE) based on a recursive least squares (RLS) algorithm using signals meas
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Mészáros, Anna, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, and Jens Kober. "ROME: Robust Multi-Modal Density Estimator." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/525.

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The estimation of probability density functions is a fundamental problem in science and engineering. However, common methods such as kernel density estimation (KDE) have been demonstrated to lack robustness, while more complex methods have not been evaluated in multi-modal estimation problems. In this paper, we present ROME (RObust Multi-modal Estimator), a non-parametric approach for density estimation which addresses the challenge of estimating multi-modal, non-normal, and highly correlated distributions. ROME utilizes clustering to segment a multi-modal set of samples into multiple uni-moda
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Yuan, Xiaocui, Qingjin Peng, Lushen Wu, and Huawei Chen. "A Novel Method of Normal Estimation for 3D Surface Reconstruction." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46484.

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A 3D object can be recovered from scanned point data, which requires accurate estimating normal directions of the object surface from the cloud data. Many point cloud processing algorithms rely on the accurate normal as input to generate an accurate 3D surface model. The neighborhood of a data point in its smooth region can be well approximated by a plane. However, the neighborhood of a feature point employed for the normal estimation is isotropic which would enclose points belonging to different surface patches across the sharp feature. In this paper, isotropic neighborhoods are segmented to
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Ma, Gang, Hui Wei, Runfeng Lin, and Jialiang Wu. "A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/759.

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In this paper, we present a novel registration method based on plane constraints for large-scale LiDAR point clouds, effectively decoupling rotation estimation and translation estimation. For rotation estimation, we propose an outlier removal method that combines coarse filtering with rotation-invariant constraints and refined filtering based on computational geometric consistency checks, effectively pruning outliers and robustly estimating accurate relative rotations from plane normals. In translation estimation, we propose a component-wise method based on plane translation constraints to eff
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Balaga, Sanjay Raghav, Mario labella, and Kanwar Bharat Singh. "Real-Time Cornering Stiffness Estimation and Road Friction State Classification under Normal Driving Conditions." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2650.

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<div class="section abstract"><div class="htmlview paragraph">The tire cornering stiffness plays a vital role in the functionality of vehicle dynamics control systems, particularly when it comes to stability and path tracking controllers. This parameter relies on various external variables such as the tire/ambient temperature, tire wear condition, the road surface state, etc. Ensuring a reliable estimation of the cornering stiffness value is crucial for control systems. This ensures that these systems can accurately compute actuator requests in a wide range of driving conditions. I
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Bae, Gwangbin, Ignas Budvytis, and Roberto Cipolla. "Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.01289.

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Kolansky, Jeremy, Corina Sandu, and Schalk Els. "Tire-Ground Normal Force Estimation From Vehicle System Identification and Parameter Estimation." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34812.

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Ground vehicle stability controllers can be significantly improved through knowledge of the vehicle’s tire-ground normal force. This work demonstrates a proof-of-concept study of such an estimator. The method involves work from two previous methods that perform real-time estimation of the vehicle’s mass and horizontal CG position. Inclusion of the previous work provides the foundation for a comprehensive method that estimates the tire-ground normal load of a ground vehicle that is invariant with respect to the vehicle parameters.
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Iseki, Toshio. "A Study on Akaike’s Bayesian Information Criterion in Wave Estimation." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49170.

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A feasibility study of Bayesian wave estimation was carried out to investigate the relationship between the minimum Akaike’s Bayesian information criterion (ABIC) and the estimated wave parameters. The ship response functions, which were used for the Bayesian wave estimation together with the ship motion cross spectra, were simply modified and compared with the normal response functions in connection with the accuracy of estimated wave parameters. Moreover, the concept of the ABIC surfaces was introduced to investigate the optimum estimates from the stochastic viewpoint and the physical viewpo
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Reports on the topic "Estimation de normales"

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Eslinger, Paul W., and Wayne A. Woodward. Minimum Hellinger Distance Estimation for Normal Models. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada228714.

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Burriel, Pablo, Mar Delgado-Téllez, Camila Figueroa, Iván Kataryniuk, and Javier J. Pérez. Estimating the contribution of macroeconomic factors to sovereign bond spreads in the euro area. Banco de España, 2024. http://dx.doi.org/10.53479/36257.

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This paper proposes a novel approach to estimating the contribution of macroeconomic factors to sovereign spreads in the euro area, defined as the spread level consistent with the country’s prevailing macroeconomic conditions. Despite the wealth of papers estimating sovereign spreads, model-dependency and lack of robustness remain key considerations. Accordingly, we propose a “thick modeling” empirical framework, based on the estimation of a wide range of models. We focus on 10-year sovereign bond yields for nine euro area countries, using a sample that covers the period January 2000 to Decemb
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Fraley, Chris, and Adrian E. Raftery. Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada454825.

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Amengual, Dante, Xinyue Bei, Marine Carrasco, and Enrique Sentana. Score-type tests for normal mixtures. CIRANO, 2023. http://dx.doi.org/10.54932/uxsg1990.

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Testing normality against discrete normal mixtures is complex because some parameters turn increasingly underidentified along alternative ways of approaching the null, others are inequality constrained, and several higher-order derivatives become identically 0. These problems make the maximum of the alternative model log-likelihood function numerically unreliable. We propose score-type tests asymptotically equivalent to the likelihood ratio as the largest of two simple intuitive statistics that only require estimation under the null. One novelty of our approach is that we treat symmetrically b
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Dueker, Michael J. Kalman Filtering with Truncated Normal State Variables for Bayesian Estimation of Macroeconomic Models. Federal Reserve Bank of St. Louis, 2005. http://dx.doi.org/10.20955/wp.2005.057.

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Bonhomme, Stéphane, and Angela Denis. Estimating heterogeneous effects: applications to labor economics. Banco de España, 2024. http://dx.doi.org/10.53479/36556.

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A growing number of applications involve settings where, in order to infer heterogeneous effects, a researcher compares various units. Examples of research designs include children moving between different neighborhoods, workers moving between firms, patients migrating from one city to another, and banks offering loans to different firms. We present a unified framework for these settings, based on a linear model with normal random coefficients and normal errors. Using the model, we discuss how to recover the mean and dispersion of effects, other features of their distribution, and how to const
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Gupta, Shanti S., and Klaus J. Miescke. On Finding the Largest Normal Mean and Estimating the Selected Mean. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada211628.

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Balani, Suman, Hetashvi Sudani, Sonali Nawghare, and Nitin Kulkarni. ESTIMATION OF FETAL WEIGHT BY CLINICAL METHOD, ULTRASONOGRAPHY AND ITS CORRELATION WITH ACTUAL BIRTH WEIGHT IN TERM PREGNANCY. World Wide Journals, 2023. http://dx.doi.org/10.36106/ijar/6907486.

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Introduction: The Accurate estimation of foetal weight is of paramount importance in modern obstetrics for management of labour and delivery. During the past two decades estimated foetal weight is incorporated into the standard routine antepartum evaluation of high-risk pregnancy & deliveries. Present study was conducted to estimation fetal weight by clinical method and by ultrasonography and to nd out its correlation with actual birth weight in term pregnancy. The cross-sectional Material and Methods: observational study was conducted in outpatient or inpatient Obstetric section of Depar
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Magdalinos, Tassos, and Katerina Petrova. Uniform Inference with General Autoregressive Processes. Federal Reserve Bank of New York, 2025. https://doi.org/10.59576/sr.1151.

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A unified theory of estimation and inference is developed for an autoregressive process with root in (-∞, ∞) that includes the stationary, local-to-unity, explosive and all intermediate regions. The discontinuity of the limit distribution of the t-statistic outside the stationary region and its dependence on the distribution of the innovations in the explosive regions (-∞, -1) ∪ (1, ∞) are addressed simultaneously. A novel estimation procedure, based on a data-driven combination of a near-stationary and a mildly explosive artificially constructed instrument, delivers mixed-Gaussian limit theor
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Tywoniak, Jan, Kateřina Sojková, and Zdenko Malík. Building Physics in Living Lab. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541565072.

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Team from Czech Technical University in Prague participated in prestigious international contest Solar Decathlon Europe 21-22. The topic of its FIRSTLIFE project was an extension of student dormitory by adding of new floors on the building together with a retrofit of the existing part. The paper deals with the pedagogical context of this activity. Students got an extraordinary opportunity to actually implement their theoretical proposals based on calculations. They also received feedback on the extent to which detailed designs are feasible in normal construction practice. New knowledge can be
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