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Showing 1 to 3 of 3 for “"manifold data"”.

  1. Multimodal learning and language models for enhanced knowledge representations

    … graph representation learning, and tabular data analysis. However, these successes have predominantly relied on abundant, single-modal datasets, often overlooking the inherently multimodal and structurally complex nature of real-world data. Real-world data typically combines multiple …

    cambridge Repository record for Multimodal learning and language models for enhanced knowledge representations (opens in a new tab)

  2. Supervised manifold distance segmentation

    … a simple and robust method for image and volume data segmentation based on manifold distance metrics. In this approach, pixels in an image are not considered as points with color values arranged in a grid. In this way, a new data set is built by a transform function from one traditional 2D image …

    unm Repository record for Supervised manifold distance segmentation (opens in a new tab)

  3. Geometric Functional Data Analysis

    … of statistical samples that are functional data with non-trivial geometry. Geometry can interplay with functional data in different forms. The most general setting considered here is that of functional data supported on random non-linear smooth manifolds. This is a situation often …

    cambridge Repository record for Geometric Functional Data Analysis (opens in a new tab)