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Some ideas here (hu moments should already be an option for this pipeline):
https://www.learnopencv.com/shape-matching-using-hu-moments-c-python/
https://docs.opencv.org/master/d5/d45/tutorial_py_co…
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Currently several algorithms to compute or estimate Gromov-Wasserstein distance are provided, so the user has lots of freedom to experiment with algorithms which are appropriate to their particular di…
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https://github.com/schillij95/ThaumatoAnakalyptor/blob/613a8b1fb680509bbad51a57ad0ce63db65a56d3/ThaumatoAnakalyptor/instances_to_graph.py#L649
Given a patch **p** in a block **A** and an overlappin…
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> [!NOTE]
> If you have a request to support a specific method, or would like to see priority of one of the listed methods, please open a separate issue, so it won't get buried in this thread. Base…
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I have POT, pymanopt autograd following POT instructions in https://pythonot.github.io/index.html. I made git clone of this github to try the tutorials and so. everything installed, most of them work.…
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確率分布間距離の比較についてのエントリが複数あるため (Le Camの不等式，Pinskerの不等式)，距離尺度の定義の一覧と，それらの強弱関係をまとめたページがあると良いかもと思いました．
## 距離尺度の例
* Total variation distance
* Hellinger distance
* Wasserstein distance
* Kullback--Le…
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**Problem:**
We need an universal tool to compare the inverse solution to simulated source configuration, i.e. have a function f(stc_simuleted, stc_estimated) which would quantify how "close" estimat…
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can somebody please explain how to run the codes and what is config in train_classifier()
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Hello all,
I'm a theoretical physicist, and have been using hdbscan for a while now. Needless to say, I've been very thankful to the makers for this great piece of software. I have question/request…
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## Introduction
There are currently a few different and unrelated packages for Approximate Bayesian Computation and Likelihood-Free Inference in julia. As mentioned on [discourse](https://discourse.…
jbrea updated
2 years ago