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 530 for “"data points"”.
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Generating new data points using singular value decomposition
… solution to the challenge of generating new data points for small data sets. It introduces a Single Value Decomposition (SVD)-based model that draws inspiration from the ability of SVD to estimate a lower rank matrix. This approach seeks to overcome the limitations imposed by sample size …
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Reconstruction of 3D scenes from pairs of uncalibrated images. Creation of an interactive system for extracting 3D data points and investigation of automatic techniques for generating dense 3D data maps from pairs of uncalibrated images for remote sensing applications.
… in this area: interactively extracting 3D points from a pair of uncalibrated images in a flexible way; finding corresponding points automatically in high resolution images, particularly those of archaeological scenes captured from a freely moving light aircraft; and improving a correlation …
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Reconstruction of 3D scenes from pairs of uncalibrated images. Creation of an interactive system for extracting 3D data points and investigation of automatic techniques for generating dense 3D data maps from pairs of uncalibrated images for remote sensing applications
… in this area: interactively extracting 3D points from a pair of uncalibrated images in a flexible way; finding corresponding points automatically in high resolution images, particularly those of archaeological scenes captured from a freely moving light aircraft; and improving a correlation …
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Heat transfer performance and prediction of low global warming potential R134a refrigerant alternatives
… such as R513A and R450A. Flow condensation data were extracted from 35 papers and created a database of 5,030 condensation heat transfer coefficient data points. The data points were compared to predicted values from ten condensation correlations and the mean average error (MAE) for each one …
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Feasibility of using cloud top altimetry for estimating tropical cyclone intensity estimation
… hurricanes were obtained from the ICESat, and points were identified where the ICESat may have traversed the hurricanes. These points were compared with IR images to confirm the intersection of the ICESat track and the hurricane tracks. Out of 18 hurricanes examined, four provided feasible …
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Manifold Sculpting
… preserving the local structure among neighboring data points while scaling down the values in unwanted dimensions. This algorithm produces less noisy results than existing algorithms, and it scales better when the number of data points is much larger than the number of dimensions. Additionally, …
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Medical abstract inference dataset
In this thesis, I built a dataset for predicting clinical outcomes from medical abstracts and their title. Medical Abstract Inference consists of 1,794 data points. Titles were filtered to include the abstract's reported medical intervention and clinical outcome. Data points were annotated with the …
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Adaptive slicing of cloud data for reverse engineering and direct rapid prototyping model construction
… conventional surface modelling from point cloud data is time-consuming and requires expert modelling skills. One of the innovative modelling methods is to directly slice the point cloud along a direction and generate a layer-based model, which can be used directly for fabrication using rapid …
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Active Learning Under Limited Interaction with Data Labeler
… by identifying the most valuable unlabeled data points from a large pool. Traditional AL frameworks have two limitations: First, they perform data selection in a multi-round manner, which is time-consuming and impractical. Second, they usually assume that there are a small amount of labeled …
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The effect of progressive relaxation training on a selected Parkinsonian patient
… began relaxation training at each session. Data points that represented the average of ten response scores from each session were plotted on a graph and examined by regression analysis. Regression lines representing data points projected to 100 sessions were calculated for both treatment and …
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Approximate k-means clustering through random projections
… row projections, we show how to approximate a data matrix A with a much smaller sketch à that can be used to solve a general class of constrained k-rank approximation problems to within (1 + [epsilon]) error. Importantly, this class of problems includes k-means clustering. By reducing data …
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An optimal approach to geometric trimming of B-spline surfaces
… The procedure is shown to involve obtaining data points on the B-spline surface that lie within the region specified by the parameter values for the trimming curve and describing a new surface which interpolates this new set of data points. This research looks at optimizing the procedure …
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Deming Regression: An Alternative to Ordinary Least Squares in Handling Error in Variables Models with Noisy Datasets
… modeled on the principle of projection of data points to the regression line so that the square of the total distance between data points and the regression line is minimized. The angle of projection of data point to the regression line is given by the ratio of the error variances between …
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Ultimate Strength of Clamped Steel-Elastomer Sandwich Panels under Combined In-plane Compression and Lateral Pressure
… pressure. Except for the pressure-only FEA data points, the other FEA data points are corrected so as not to count the in-plane load carried by the elastomer core. Based on the corrected FEA data points, a general expression is developed for an interaction equation. The resulting equation …
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Learning discriminative models with incomplete data
… using multiple modalities, e.g. sensor data from video, audio, physiological changes etc. Often in real-world scenarios there can be incompleteness in the training data. There can be missing channels due to sensor failures in multi-sensory data and many data points in the training set …
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Flight Data Processing Techniques to Identify Unusual Events
… provides the opportunity to use the recorded data to predict future aircraft behavior. It is believed that, by analyzing the recorded data, one can identify precursors to hazardous behavior and develop procedures to mitigate the problems before they actually occur. Because of the enormous …
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How WEIRD are the South African acute pain guidelines? An analysis of the 2015 South African acute pain guidelines
… research is biased owing to skewed reliance on data from WEIRD (Western, Educated, Industrialized, Rich, Democracies) populations. This research explores health care discrepancy, primarily experienced by non-westernised, non-industrialised, non-rich and non-white people in the context of …
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GeneSet MAPR: Characterization of gene sets through heterogeneous network patterns
Often, machine learning and big data concepts are applied to problems without a proper appreciation of their limitations or domain context. At the same time there is a growing appreciation for the ability of networks to represent more complex connections between data points than previous …
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A generic framework for detecting interpretable real-time anomalies in network traffic data
… for detecting anomalies in network traffic data on highly complex computer networks. In this research, I present the Ensemble Outlier Detection System, a new framework for detecting anomalies in multidimensional network traffic data. The system meets six design requirements which ensure that …
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Smoothed Online Learning: Theory and Applications
… learning are predicated on the assumption that data are independent and identically distributed. Motivated by the numerous applications that do not satisfy this assumption, many researchers have been interested in relaxations of this condition, with online learning being the weakest such …
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