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Showing 1 to 4 of 4 for “"Singular Value Decomposition Method"”.

  1. Some Aspects of the Crystal Chemistry of Perovskites under High Pressures

    This thesis makes contributions to the methodology of quantitative description of the tilting systems of perovskite structures and theoretical analysis of high-pressure phase transitions of representative perovskites. Chapter 1 and 2 introduce the perovskite structures, tilting classification and …

    vt Repository record for Some Aspects of the Crystal Chemistry of Perovskites under High Pressures (opens in a new tab)

  2. Efficient similarity search in high-dimensional data spaces

    … curse. Dimensionality reduction using the Singular Value Decomposition method is the approach adopted in this study to deal with high-dimensional data. Noting that for many real-world datasets, data distribution tends to be heterogeneous, dimensionality reduction on the entire dataset may …

    njit Repository record for Efficient similarity search in high-dimensional data spaces (opens in a new tab)

  3. Automatic First Break Detection by Spectral Decomposition Using Minimum Uncertainty Wavelets

    … interpreting the measured data. We suggest a new method of first break detec- tion that is based on time-frequency spectral decomposition method and utilizes the Cn Transform and the Super-Gaussian μ wavelets. We tested our method on lab data with various signals and first arrival time was …

    houston Repository record for Automatic First Break Detection by Spectral Decomposition Using Minimum Uncertainty Wavelets (opens in a new tab)

  4. Building a robust clinical diagnosis support system for childhood cancer using data mining methods

    … of complex diseases. Several computational methods have been developed to deal with gene annotations, gene expressions and SNP data of complex diseases. However, analysis of every gene expression and SNP profile, and finding gene-to-gene relationships, is computationally infeasible because …

    uts Repository record for Building a robust clinical diagnosis support system for childhood cancer using data mining methods (opens in a new tab)