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Hi, is there a reliable method to determine self occluded joints? I'm converting 2D joints to 3D via an RGB-D camera, there are cases when pose inference (correctly) predicts a joint that is self-occl…
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Thanks for the nice course materials.
I can see the PAWS-2 is for parameter estimation with existing PK data and PAWS-1 is for prediction with hypothetical dosing schedule. I run through the PAWS-1…
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**Submitting author:** @rajitachandak (Rajita Chandak)
**Repository:** https://github.com/nppackages/lpcde
**Branch with paper.md** (empty if default branch):
**Version:** v.0.1.4
**Editor:** @spholm…
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Map-matching currently does not take the timestamp into account for its confidence estimation. We can get high-confidence matches out of the plugin while in its results the user drives > 300 km/h.
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Hi, thanks for a valuable work!
I have a question for the visualization shown in Figure 5 of the paper.
How exactly did you visualize the distributional representations?
What was the algorithm,…
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First of all, I still need to read more carefully the references, so I might be wrong.
In the [Multitaper coherence estimation](http://nipy.org/nitime/examples/multi_taper_coh.html) tutorial, the c…
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- [ ] **Bayesian estimation**
https://github.com/easystats/bayestestR/issues/92#issuecomment-491559614 :
> Note that I would love to implement a ***Bayesian estimation of density**. Besides bein…
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Hello,
I am getting the following error when trying to run Bottleneck_size_estimation_approx.r, both when using my data file and your example data file:
Rscript Bottleneck_size_estimation_approx…
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Hello Jonathan,
Thank you for developing this method.
I have a question about how the observations are plotted in the figures.
In the paper, "the red points show the **mean outcome** plotted again…
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**Is your feature request related to a problem? Please describe.**
Sktime does not have exponential smoothing predictor which is able to calculate confidence intervals.
**Describe the solution you…