SMAC detects shape deformations and color anomalies in 4D point clouds using Laplace-Beltrami spectral properties without registration or mesh reconstruction.
Journal of Applied Statistics , volume =
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MUDRA extends FLDA to multivariate time series with missing data via an ECM algorithm and shows improved classification over prior methods on the Articulary Word Recognition dataset.
The reviewed method generalizes the Cash statistic C_min and likelihood-ratio ΔC to include systematic uncertainties in Poisson data, allowing simultaneous assessment of systematics level and model goodness-of-fit.
citing papers explorer
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Simultaneous Monitoring of Shape and Surface Color via 4D Point Clouds: A Registration-free Approach
SMAC detects shape deformations and color anomalies in 4D point clouds using Laplace-Beltrami spectral properties without registration or mesh reconstruction.
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Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
MUDRA extends FLDA to multivariate time series with missing data via an ECM algorithm and shows improved classification over prior methods on the Articulary Word Recognition dataset.
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Review: A new method for estimation and use of systematic errors in Poisson regression
The reviewed method generalizes the Cash statistic C_min and likelihood-ratio ΔC to include systematic uncertainties in Poisson data, allowing simultaneous assessment of systematics level and model goodness-of-fit.