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Nikola Aulig - Generic Topology Optimization Based on Local State Features

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Nikola Aulig

Generic Topology Optimization Based on Local State Features

Series: Rechnerunterstützte Verfahren

Volume 468 2017

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Theory S. 155-160

„… Sensitivity Regression Models 157 A.2 Sensitivity Regression Models A.2.1 Linear Regression At first a basic …” „… linear regression model is considered. Linear regression is commonly used in engineering, often as …” „… the original features also multivariate polynomial models are captured by linear regression models. A …”

Studies on the Minimum Compliance Problem S. 84-120

„… . 4.4, namely: • Linear Regression Topology Optimization by Predicting Sensitivities (LIN-TOPS …” „… ), • Support Vector Regression Topology Optimization by Predicting Sensitivities (SVR-TOPS), • Support Vector …” „… Regression Topology Optimization by Predicting Aggregated Sensitivities (SVR-TOPAS). LIN-TOPS and SVR-TOPS …”

Titelei/Inhaltsverzeichnis

„… regression. In empirical experiments, the novel method reproduces reference structures with minimum …” „… Sensitivity Regression Model . . . . . . . . . . . . . 80 4.4.4 Computational Flow …” „… Sensitivity Regression Models . . . . . . . . . . . . . . . . . 157 A.2.1 Linear Regression …”

Topology Optimization by Predicting Sensitivities S. 48-83

„… (Sec. 4.3.2) Model: Support Vector Regression (Sec. 4.4.3) Model: Linear Regression (Sec. 4.4.3) Local …” „… task is to map a continuous input parameter space to a continuous output parameter, hence a regression …” „… using a universal regression model, a different model, motivated from the perspective of a lower …”

Conclusions S. 150-154

„… based on linear or support vector regression (LIN/SVR-TOPS). Empirical studies on the minimum compliance …” „… difference sampling is possible, training a supervised regression model for the updatesignals is more …” „… vector regression has shown to be a reliable predictor, which is able to adequately replace the …”

Bibliography S. 177-202

„… . Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12:55–67, 1970. [84 …” „… ] Smola, A. J. and Schölkopf, B. A tutorial on support vector regression. Statistics and computing …”

doi.org/10.51202/9783186468208

Felix Konstantin Kuhnke - Unsupervised Domain Adaption for Real-World Head Pose Estimation from Synthetic Data

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Felix Konstantin Kuhnke

Unsupervised Domain Adaption for Real-World Head Pose Estimation from Synthetic Data

Series: Informatik/ Kommunikation

Volume 883 2023

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Partial adversarial domain adaptation for continuous label spaces S. 31-44

„… of partial domain adaptation (PDA) for regression.This chapter shows how we transform adversarial …” „… following subsections.3.2.1 DANN for regressionWe start by reintroducing the DANN objective but adapt it by …” „… consequence, itseems to be reasonable to apply them to regression tasks as well. Regres-sion tasks have a …”

Introduction S. 1-10

„… (HPE) is a regression task that ideally fits thepresented scenario. Taking pictures of faces is easy …” „… DA. Regression tasks usually implydifferences in label distributions between domains that cause …” „… not truefor regression tasks, which have continuous label spaces. In a continuouslabel space, the …”

Conclusion S. 99-102

„… regression tasks including HPE, is still an openchallenge for DA. Unfortunately, related work does not …” „… contrast tomost DA research, we focus on regression tasks and, in doing so, arefilling an important …” „… geodesic loss, and 6D pose rep-resentation seem to reliably improve pose regression. As pose …”

Domain adaptation using relative pose consistency S. 45-60

„… ]. At thispoint, regression is rarely investigated in semi-supervised learning. It istherefore exciting …” „… to explore whether these methods can also be used fordomain adaptation with a regression task. On top …” „… regression task. The objective is to find a smalldistance between predicted poses g(x′) and ground truth …”

Titelei/Inhaltsverzeichnis

„… Dokumentation: Kopfposenschätzung – Domänenadaption – synthetische Daten – Deep Learning – RegressionKeywords …” „… : head pose estimation – domain adaptation – synthetic data – deep learning – regressionDiese …” „… Adversarial Domain Adaptation for Continuous Label Spaces 363.2.1 DANN for regression …”

Fundamentals S. 11-30

„… : classi-fication and regression. For classification the algorithm has to accuratelyassign data into specific …” „… simultaneously. For regression the algorithmhas to estimate the relationships between input variables (often …” „… predictive function that helps us solve a problemlike regression or classification [49].Predictive Function …”

Bibliography S. 111-128

„… . Hoffmann, S. Tripathi, andM. J. Black. “AGORA: Avatars in Geography Optimized for Re-gression Analysis.” In …” „… , and R. Horaud.“Deep mixture of linear inverse regressions applied to head-poseestimation.” In …” „… . Lathuilière, P. Mesejo, X. Alameda-Pineda, and R. Horaud. “AComprehensive Analysis of Deep Regression.” In …”

Evaluation S. 61-98

„… ], adapted byus for regression in Section 3.2.1, and PADACO. This allows us to comparethe performance of …” „… Section 3.2.2 and Section 3.2.1to work for regression tasks. PADACO, DANN, and PADA-like share …” „… the regressionnetwork r is the replaced last layer of ResNet18. The domain discrim-inator d is a fully …”

doi.org/10.51202/9783186883100

Haitham Elfahaam - A Runtime Adaptation Concept to reinforce Versatility in Industrial Automation

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Haitham Elfahaam

A Runtime Adaptation Concept to reinforce Versatility in Industrial Automation

Series: Mess-, Steuerungs- und Regelungstechnik

Volume 1267 2018

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Methodology Investigation - Analytical Approach - Linear Model S. 40-54

„… optimal transfer factors α as shown in [15] or can be approximated using regression models as presented in …” „… Performance Enhancement via Regression Models As previously shown, adjusting the performance of a distribution …” „… investigation is conducted to examine whether a regression model can compute the optimal values given the …”

Titelei/Inhaltsverzeichnis

„… via Regression Models . . . . . . . . . . . . . . 48 5.5.1 Optimizing the Transfer Coefficient …” „… . . . . . . . . . . . . . . . . . . 48 5.5.2 Ring Hub and Spoke Networks . . . . . . . . . . . . . . . . . . . . 49 5.5.3 Regression …” „… networks and constructing regression models to compute the optimal parameters for load redeployment …”

Conclusion and Outlook S. 105-109

„… presented. Furthermore, a regression model is constructed to investigate hub spoke networks and optimize …”

State of the Art S. 6-22

„… YALMIP MATLAB toolbox to compute the regression model. The former implements a primal-dual …”

doi.org/10.51202/9783186267085

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wt Werkstattstechnik online

Browse Volumes: wt Werkstattstechnik online

wt Volume 107 (2017) Issue 01-02 ISSN Online: 1436-4980

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E. Prof. Abele, N. Lautenschläger Untersuchung des Einflusses der Nebenschneiden auf den Reibprozess*/Influence of secondary cutting edges on the reaming process S. 27-33

„… Kräfte mittels multivariater Regression in eine Funktion aller variablen Parameter überführt …” „… Kräfte mittels multivariater Regression in eine Funktion aller variablen Parameter überführt …” „… durch eine Regression mit einem potentiellen Ansatz in eine analytische Gleichung überführt werden …”

doi.org/10.37544/1436-4980-2017-01-02

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wt Werkstattstechnik online

Browse Volumes: wt Werkstattstechnik online

wt Volume 108 (2018) Issue 07-08 ISSN Online: 1436-4980

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V. Dejkun, I. Lorenz, S. Mischliwski, E. Abele Globale Oberflächenoptimierung beim Fräsen*/Global optimization of surface quality for milling processes S. 499-505

„… quadratischer Regression durchgeführt. Sie ergaben, dass der Algorithmus „Simulated Annea ling“ innerhalb …” „… quadratic regression of the solution space and are successful in finding a global optimum close to that …” „… durch eine quadratische Regression ange nähert und die Effektivität der Lösungsmethode anhand dieser …”

T. Pschybilla, D. Baumann, S. Manz, W. Wenger, Bauernhansl. T. Data Analytics in der Produktion*/A maturity model for the classification of real-world applications of data analytics in manufacturing environment S. 543-548

„… durch prädiktive Methoden. Hierbei werden durch lineare Regressionen und Trendanalysen die Überoder …”

N. Sawczyn, M. Polte, E. Uhlmann Temperaturvariable Computertomographie*/Temperature-variable computed tomography - Enabling quality assurance for complex assemblies S. 530-534

„… multiples lineares Regressionsmodell mit transformierter Antwortvariable als Modellierungsgrundlage genutzt …” „… Regressionskoeffizienten b und die Transformationsvariable g werden mit der Maximum-Likelihood- Methode ermittelt. Die …”

doi.org/10.37544/1436-4980-2018-07-08

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