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.
Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data , pages =
2 Pith papers cite this work. Polarity classification is still indexing.
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The paper reports 21 previously unknown variable stars in M71 along with refined cluster parameters (age 12.9 Gyr, [Fe/H] = -0.88, E(B-V) = 0.21, distance modulus 13.01) from a decontaminated CMD.
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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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Variable stars in the field of the Galactic globular cluster M71
The paper reports 21 previously unknown variable stars in M71 along with refined cluster parameters (age 12.9 Gyr, [Fe/H] = -0.88, E(B-V) = 0.21, distance modulus 13.01) from a decontaminated CMD.