Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 39 for “"Mean shift"”.
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Robust mixture regression using mean-shift penalisation
… lead to inappropriate conclusions. We consider a mean-shift robust mixture regression approach to address this. This method uses a component specific mean-shift parameterisation which contributes towards both the successful identification of outliers as well as robust parameter estimation. The …
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Recherche d'images par le contenu basée sur mean-shift et histogrammes de couleurs
"Dans ce projet nous allons faire un suivi de n classes d'une image de référence prise dans une bande d'images et tenter de la retrouver, parmi les autres images de la base, toutes celles possédant des classes similaires à celles de l'image de référence."
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Analytical techniques of quality and cost : robust design, design of experiments, and the prediction of mean shift
… The effect of product variability on the mean performance of a product is also explained along with the various ways that can be used to predict a shift in the mean value of the performance. Two examples are then developed. The first focuses on the application of the robust design method …
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Intergration of control chart and pattern recognizer for bivariate quality control
Monitoring and diagnosis of mean shifts in manufacturing processes become more challenging when involving two or more correlated variables. Unfortunately, most of the existing multivariate statistical process control schemes are only effective in rapid detection but suffer high false alarm. This is …
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Lip Detection and Adaptive Tracking
… lip detector is incorporated into an adaptive mean-shift tracking algorithm for tracking lips in a car cabin environment. The resulting detector achieves 96.8% accuracy, and the tracker is shown to recover and adapt in scenarios where mean-shift alone fails.</p>
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Parametric Resampling Methods for Retrospective Changepoint Analysis
… and such a method is proposed for the mean-shift model. Data from the Everglades, Florida, USA is used to showcase the methodology in a real-world setting. An extension to the case of time-series data represented via transition matrices is presented as a result of joint work with Matt …
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Cycle-to-cycle control of reconfigurable die sheet metal forming
… part quality is defined in terms of the process mean shift and variance. The system dynamics are presented in terms of unwanted process disturbances. In-depth experiments are then performed to quantify the process performance under CtC control. The CtC process yield is compared the process yield …
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Impact of geometric variability on compressor repeating-stage performance
… the variation input, at design incidence, the mean efficiency is found to decrease by 1%, mostly due to the mean shift in profile losses, and the mean pressure rise is reduced by 2.5%, mostly because of the mean shift in turning. A parametric study for compressor stages of different designs …
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Statistical process control of stationary processes
… adequate when u is not high positive with small mean shift.
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Toward the detection of landscape features : clustering 3D points using spatial and thematic characteristics
… values. I employed the multi-dimensional Mean Shift clustering technique from the discipline of Computer Vision, and adapted a 3D range image segmentation accuracy assessment technique. I also contributed new techniques for segmentation quality assessment including two area under the curve …
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A preliminary approach to detect and track events in social media
… data streaming context. We proposed an evolving Mean Shift clustering based algorithm to formulate a robust system to automatically detect and track events in social network media. We also demonstrate its performance in empirical experiments. Our online system can be udapted and maintained …
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Interacting Ultracold Alkali Atomic Fermion Gases and Radio-Frequency Spectroscopy
… approximation. Our calculation reproduces the mean field shift observed in experiments for normal gases, and confirms that a second peak detected at higher frequencies in the rf spectrum at sufficiently low temperatures arises from paired fermions. We define a mean frequency shift by the sum …
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Statistical control and design optimization in slitting process
… Therefore, a proper training for detecting any mean shift happening in the process to the operators utilizing the digital camera measurement system is recommended.
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Probabilistic aerothermal design of compressor airfoils
… considered. Discrepancies between nominal and mean loss (mean-shift) of up to 20% were observed. Loss and turning variability were found to grow linearly with geometric noise amplitude. A probabilistic, gradient-based approach to compressor blade optimization was presented. Probabilistic …
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An Evaluation of a Telecommunication Model for Training Staff to Implement Common Behavioural Protocols
… Across three behaviour technicians, the average mean shift from baseline to post-training was 27.1% (trained skill) and 58% (untrained skill). Improved performance of the trained skill with a research assistant was maintained over 80% accuracy for all three behaviour technicians, but only one …
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Effects of fall orphaning on white-tailed deer fawns
… the conclusion of the study in March 1974. The mean shift in center of activity was 233 meters for orphans without siblings, 206 meters for orphans with siblings, and 171 meters for controls. Orphans with twins remained together while orphans without siblings sought the company of other deer and …
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Outliers and robust response surface designs
… these outliers. Two of these models, the mean shift and the variance inflation outlier models, are employed in this research. Several criteria are developed for determining when the outlying observation is detrimental to the analysis. These criteria all lead to the same condition which is …
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Video processing analysis for non-invasive fatigue detection and quantification
… called the Interdependence and Adaptive Scale Mean Shift (IASMS) is presented. The IASMS is able to quantify the state of eye as well as to track non-rigid eye movement. IASMS integrates the mean shift tracking algorithm with an adaptive scale scheme, which is used to track the iris and …
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Change point detection for high dimensional data and valid inference for Bayesian linear models
… propose a change point detection method testing mean shift for high dimensional observations with unknown heteroscedasticity. The proposed tests target a dense alternative and a wild bootstrap procedure is used to estimate the unknown limiting distribution. The bootstrap test is free of tuning …
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Robust design methodologies: application to compressor blades
… blades exhibit considerably less variability and mean shift in performance as compared to the optimal blades. Finally, a probabilistic framework is developed to deal with randomness in objectives during multiobjective optimization and is applied in conjunction with Gaussian Process emulators for …
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