A stability evaluation framework probes parametric projections with Gaussian perturbations around anchor points to quantify mean displacement, bias, nearest-anchor error, and visualize local deformations on MNIST and Fashion-MNIST.
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2 Pith papers cite this work. Polarity classification is still indexing.
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A PCA-based likelihood ratio model for forensic gait analysis from empirical data produces misleading results in less than 10% of comparisons but is sensitive to mis-specification of within-individual variability.
citing papers explorer
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Local Neighborhood Instability in Parametric Projections: Quantitative and Visual Analysis
A stability evaluation framework probes parametric projections with Gaussian perturbations around anchor points to quantify mean displacement, bias, nearest-anchor error, and visualize local deformations on MNIST and Fashion-MNIST.
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Evaluating the probative value of forensic gait analysis evidence using empirical data
A PCA-based likelihood ratio model for forensic gait analysis from empirical data produces misleading results in less than 10% of comparisons but is sensitive to mis-specification of within-individual variability.