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.
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Showing 1 to 20 of 57 for “"multidimensional data"”.
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Visualizing mixed variable-type multidimensional data using tree distances
… distances of Buttrey and Whitaker to visualize multidimensional data of mixed-variable types, having both numerical and categorical data. Tree distances measure dissimilarities among observations in a data set while exploiting desirable properties of classification and regression trees: ease of …
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Techniques for Approximating Optimal Linear Estimators of Multidimensional Data
… estimator for hyperspectral and multispectral data that improves the average channel signal-to-noise ratio of a 0 dB observation by 16 dB. Second, we consider the problem of estimating a time-series of optical coherence tomography images and propose a blind estimator that improves visual image …
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Visualizing Multidimensional Data with General Line Coordinates and Pareto Optimization
… General Line Coordinates (GLC-L) can visualize multidimensional data better than typical methods, such as Parallel Coordinates (PC). The results of using GLC-L will display visuals with less clutter than PC and be easier to see changes from one graph to the next. Visualizing the Pareto Frontier …
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Vektorių kvantavimo metodų jungimo su daugiamatėmis skalėmis analizė /
… to establish and understand the structure of multidimensional data: their clusters, outliers, similarity and dissimilarity. One of solution ways is a dimensionality reduction and visualization of the data. If a huge datasets is analyzed, it is purposeful to reduce the number of the data items …
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Optimization algorithms for multidimensional scaling with city-block distances and their parallelization /
… related to a visualization of elements of a multidimensional data set is considered. Here, for the sake of simplicity, an element of a multidimensional data set is called a multidimensional element. There are many techniques for visualizing multidimensional elements. Multidimensional scaling …
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Optimizavimo algoritmai daugiamatėms skalėms su miesto kvartalo atstumais ir jų lygiagretinimas /
… related to a visualization of elements of a multidimensional data set is considered. Here, for the sake of simplicity, an element of a multidimensional data set is called a multidimensional element. There are many techniques for visualizing multidimensional elements. Multidimensional scaling …
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Scaling Multidimensional Inference for Big Structured Data
<p>"In information technology, big data is a collection of data sets so large and complex that it becomes difficult to process using traditional data processing applications" [151]. In a</p><p>world of increasing sensor modalities, cheaper storage, and more data oriented questions, we are quickly …
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Data Visualization and Classification of Artificially Created Images
Visualization of multidimensional data is a long-standing challenge in machine learning and knowledge discovery. A problem arises as soon as 4-dimensions are introduced since we live in a 3-dimensional world. There are methods out there which can visualize multidimensional data, but loss of …
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MODBASE : a SciDB-powered system for large-scale distributed storage and analysis of MODIS earth remote sensing data
… and practices built around the open source SciDB multidimensional data management and analytics software system, provides the Earth Science community with a powerful foundation for direct, ad-hoc analysis of large volumes of Level-1B data produced by the NASA Moderate Resolution Imaging …
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Developing a flexible and expressive realtime polyphonic wave terrain synthesis instrument based on a visual and multidimensional methodology
… processing, storage, and visual display of multidimensional data structures. With additional support for a wide range of media types, and the interaction between these mediums, the environment presents a perfect working ground for Wave Terrain Synthesis. This research details the practical …
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An Analysis of netCDF-FastBit Integration and Primitive Spatial-Temporal Operations
… for the intuitive use of SQL queries on dense multidimensional data stored in Network Common Data Format (netCDF) files is developed using advanced bitmap indexing provided by the FastBit bitmap indexing tool. A method for netCDF data extraction and FastBit index creation is presented and a …
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A Modified Order-Analysis Procedure for Determining Unidimensional Item Sets
… be unidimensional. However, many tests yield multidimensional data, implying that more than one latent trait would be necessary to account for test performance. A possible solution to this problem of multidimensionality would be to isolate unidimensional subsets of items from the total set of …
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The Visual Scalability of Integrated and Multiple View Visualizations for Large, High Resolution Displays
… are all faced with trying to understand massive datasets that require integrating spatial and multidimensional data. Information visualizations are often used to aid these scientists, but designing the visualizations is challenging. One aspect of the visualization design space is a choice of when …
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Decreasing Occlusion and Increasing Explanation in Interactive Visual Knowledge Discovery
… visual knowledge discovery, machine learning and data mining in multidimensional data. This thesis proposes a hybrid method that combines visual and analytical means to deal with these problems. This method, denoted as FSP, uses visualization of n-D data in 2-D in a set of Shifted Paired …
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GPU Based Methods for Interactive Information Visualization of Big Data
… visualization area. However, the amount of data has increased exponentially in the past few years. Existing information visualization techniques lack scalability to deal with big data, such as graphs with millions of nodes, or millions of multidimensional data records. Recently, the …
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A Tensor Algebra Compiler library interface and runtime
… algebra is a powerful tool for computing on multidimensional data and has applications in many fields. The number of possible tensor operations is infinite, so it is impossible to manually implement all of them to operate on different tensor dimensions. The Tensor Algebra Compiler (taco) …
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Optimization of parallel coordinates for visual analytics
The visualization and interaction of multidimensional data always requires optimized solutions for integrating the display, exploration and analytical reasoning of data into a kind of visual pipeline for human-centered data analysis and interpretation. However, parallel coordinate plot, as one of …
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Phase transitions in magnetic clusters and other finite systems
… than one external parameter. With an Optimized Multidimensional Data Analysis of histograms produced by canonical Monte Carlo simulations, we are able to compute the phase behaviour of finite magnetic systems over a wide temperature and magnetic field range just by determining observables at a …
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SuperTaco : Taco Tensor Algebra kernels on distributed systems using Legion
… powerful language for expressing computation on multidimensional data. While many tensor datasets are sparse, most tensor algebra libraries have limited support for handling sparsity. The Tensor Algebra Compiler (Taco) has introduced a taxonomy for sparse tensor formats that has allowed them to …
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Unfield sparse formats for tensor algebra compilers
… algebra is a powerful tool for computing on multidimensional data and has applications in many fields. Practical applications often deal with tensors that are sparse, and there exists a wide variety of formats for storing such tensors, each suited to specific types of applications and data. …
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