Soft-MSM is a smooth, gradient-enabled version of the context-aware MSM distance for time series alignment that outperforms Soft-DTW alternatives in clustering and nearest-centroid classification.
A Survey on Time-Series Distance Measures
2 Pith papers cite this work. Polarity classification is still indexing.
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A framework that generates time-consistent cell phantom videos by modeling the evolution of Elliptical Fourier Descriptor coefficients as a multivariate time series to support synthetic annotated data for cell tracking.
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Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series
Soft-MSM is a smooth, gradient-enabled version of the context-aware MSM distance for time series alignment that outperforms Soft-DTW alternatives in clustering and nearest-centroid classification.
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Cell Phantom Video Generation in Elliptical Fourier Descriptor Domain
A framework that generates time-consistent cell phantom videos by modeling the evolution of Elliptical Fourier Descriptor coefficients as a multivariate time series to support synthetic annotated data for cell tracking.