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Showing 1 to 3 of 3 for “"probabilistic principal component analysis"”.

  1. High-dimensional covariance estimation with applications to functional genomics

    … explores a dimensionality reduction approach --- probabilistic principal component analysis --- as a model-based covariance estimation method that can handle missing values. By assuming a low-dimensional latent structure, this is particularly useful when the inverse covariance is required (e.g. …

    cambridge Repository record for High-dimensional covariance estimation with applications to functional genomics (opens in a new tab)

  2. Platelet phenotype distinguishes ITP from isolated thrombocytopenia

    … count to predict bleeding risk. A comprehensive analysis of 103 ITP patients, 22 thrombocytopenic controls, and 123 healthy donors (HDs) revealed elevated expression of glycoprotein (GP) VI and platelet-bound immunoglobulin G in symptomatic patients. Soluble biomarkers, including soluble (s) …

    anu Repository record for Platelet phenotype distinguishes ITP from isolated thrombocytopenia (opens in a new tab)

  3. Scene Monitoring With A Forest Of Cooperative Sensors

    … tracking algorithm learns this subspace by using probabilistic principal component analysis and uses it for appearance matching. The proposed system learns the camera topology and subspace of inter-camera color transfer functions during a training phase. Once the training is complete, …

    ucf