Corpus ID: 3760475

Gaussian Process Latent Variable Alignment Learning

@article{Kazlauskaite2019GaussianPL,
  title={Gaussian Process Latent Variable Alignment Learning},
  author={Ieva Kazlauskaite and C. Ek and N. D. F. Campbell},
  journal={ArXiv},
  year={2019},
  volume={abs/1803.02603}
}

Ieva Kazlauskaite, C. Ek, N. D. F. Campbell

Published 2019

Computer Science, Mathematics

ArXiv

We present a model that can automatically learn alignments between high-dimensional data in an unsupervised manner. Our proposed method casts alignment learning in a framework where both alignment and data are modelled simultaneously. Further, we automatically infer groupings of different types of sequences within the same dataset. We derive a probabilistic model built on non-parametric priors that allows for flexible warps while at the same time providing means to specify interpretable… CONTINUE READING

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