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 9 of 9 for “"Binary segmentation"”.
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Extracting orientation and scale from smoothly varying textures with application to segmentation
… two main computer vision research topic: image segmentation and texture modeling. Information theoretic measures have been applied to image segmentation algorithms for the past decade. In previous work, common measures such as mutual information or J divergence have been used. Algorithms …
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Computational Analysis of Genome-Wide DNA Copy Number Changes
… are derived from detected CNAs using circular binary segmentation and wavelet transform, which calculates a score based on both the amplitude and frequency of the copy number changes. We generated CIN indices on ovarian cancer subtypes' copy number data and used them as features to train a SVM …
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Comparative analysis of algorithms for identifying copy number variation in array CGH data
… number variation in array CGH data. Circular Binary segmentation (CBS), CGH segmentation, Price —Smith—Waterman algorithm (the three algorithms are a part of ADaCGH tool) and Cluster Along Chromosome (CLAC) which is not publicly available were studied and used for the analysis of array CGH …
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Multi-Class 3D Segmentation of Progressive Damage in Advanced Composites using Deep Learning
… is normally analyzed by manual or semi-automated segmentation techniques, where a user identifies and segments the different damage modes (e.g., internal cracks) in the 2D tomograms that comprise the 3D tomographic scan. However, these scans contain a large amount of data (≈10 GB/mm3 ) making it …
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The application of Earth Observation for mapping soil saturation and the extent and distribution of artificial drainage on Irish farms
… classifier achieved overall accuracy of 91% in a binary segmentation of artifically-drained and poorly-drained classes. Compared with an existing soil drainage map, the RF model indicated that ~44% of soils in the study area could be classed as “drained”. As well as spatial differences, temporal …
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Change point detection for high dimensional data and valid inference for Bayesian linear models
… change point locations, we utilize the wild binary segmentation algorithm. Empirical studies show that our methods have the correct size and better power compared with the existing approach when heteroscedasticity exists. In the second project, we propose a class of monitoring statistics for …
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BIOLOGICAL AND MOLECULAR CHARACTERIZATION OF CMA-03/06, A NEWLY ESTABLISHED INTERLEUKIN-6 INDEPENDENT VARIANT OF THE CMA-03 HUMAN MYELOMA CELL LINE.
… DNAcopy Bioconductor package, based on circular binary segmentation method. Global gene expression profiling (GEP) was performed by means of the GeneChip Human Gene 1.0 ST Arrays (Affymetrix); the supervised analyses were done using the rank Prod method and a 2 fold change cut off. The …
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Statistical inference for high-dimensional data
… we combine our test statistic with the wild binary segmentation procedure to perform the change-point estimation. Empirical simulations demonstrate that the trimming technique is effective and necessary for both testing and estimation when there is strong temporal dependence. As an important …
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High-dimensional change point detection for mean and location parameters
… we propose a principled bootstrap-assisted binary segmentation (BABS) algorithm to dynamically adjust the change point detection rule and recursively estimate their locations. We derive its rate of convergence under suitable signal separation and strength conditions. The results derived are …