# Multiple Alignment of Continuous Time Series

@inproceedings{Listgarten2004MultipleAO, title={Multiple Alignment of Continuous Time Series}, author={J. Listgarten and R. Neal and S. Roweis and A. Emili}, booktitle={NIPS}, year={2004} }

Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained in such noisy replicate sets, we need to align them in an appropriate way (for example, to allow the data to be properly combined by adaptive averaging). We present the Continuous Profile Model (CPM), a generative model in which each observed time series is a non-uniformly subsampled version of a single latent trace, to… CONTINUE READING

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#### References

##### Publications referenced by this paper.

SHOWING 1-10 OF 10 REFERENCES

Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

- Computer Science, Biology
- 1998

4211

Bioinformatics Meets Proteomics - Bridging the Gap between Massspectrometry Data Analysis and Cell Biology

- Medicine, Computer Science
- 2003

54

Dynamic programming algorithm for spoken word re cognition.Readings in Speech Recognition, pages

- 1990

Dynamic programming algorithm for spoken word recognition. Readings in Speech Recognition

- 1990