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I want to run dtw on multivariate time series (possibly the time series have different lengths) with type_dtw=“i”, as in the following example, which considers two two-dimensional time series (one of …
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### 🚀 The feature, motivation and pitch
DTW is a crucial algorithm for measuring similarity between temporal sequences, but its computational complexity can be a bottleneck, particularly with large…
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File "dtw.py" should be refactored --- maybe renaming it to e.g. "aligner.py"? --- to support different algorithms in the future. For example, triangular global alignment kernels or variations on the …
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The SWAMP paper can be found [here](https://www.cs.ucr.edu/~eamonn/DTWMotifsSWAMP_Expanded.pdf)
The supplementary webpage is [here](https://sites.google.com/site/dtwmotifdiscovery/)
The code is …
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Howdy! I'm the developer of [Storyteller](https://gitlab.com/smoores/storyteller), which is a platform for automatically syncing ebooks and audiobooks. I'm interested in migrating to echogarden for th…
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Hello!
I am currently exploring the fantastic algorithms developed by your team. However, I have a question regarding the difference between Rawhash and Rawalign. From my understanding, both Rawhas…
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There are python implementations of dynamic time warping (dtw) from individual GitHub users, but none have the backing of a large open source project. It feels like the dtw algorithm would be at home …
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Hi,
Looks like amercing might be exactly what I am looking for in my loss function.
I was wondering if you'd ever considered integrating it with the Soft DTW algorithm before, or if you know an…
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I think https://github.com/cjekel/similarity_measures/issues/26 is a good example of where a partial matching DTW algorithm could be useful
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I'm working with "series" (kmath - stat) package and my task is to implement DTW algorithm. To implement this algorithm I need to dynamicly change special matrix. But I faced with the problem, that [M…