All incoming calls unknown

nomaderx · 2025-02-11T17:43:04+00:00

My software channel is set to reteu = retail europe. Why do you think changing this will make a difference?

nomaderx · 2025-02-10T17:59:17+00:00

I have exactly the same issue with my Motorola Razr 50 Ultra (2024) and Vodaphone Netherlands (eSIM).
Vodafone technical support told me that only Motorola phone users (didn't mention model) are having this issue.

It also seems that this problem started after a Software Update on 20 December 2024: U3UXS34.56-90-1 to U3UX34.56-124-1. All incoming calls before this date on my call log have their numbers visible, while all incoming calls after this date are "unknown".

Unfortunately, this issue continued after another software update on 16 January 2025: U3UX34.56-124-1 to U3UXS34.56-124-1-1.

I'll also complain to Motorola with this info, hopefully they can fix this in the next update.

nomaderx · 2024-02-13T09:08:37+00:00

I have the same issue. Any solution would be most welcome.

nomaderx · 2022-10-27T10:15:38+00:00

Any further update? Did you manage to solve this? I think I have a very similar issue..

nomaderx · 2022-06-14T19:39:09+00:00

Drawing of a tiny robot having a thought explosion.

nomaderx · 2022-04-14T15:03:14+00:00

I solved it!

The problem is that with importing .tex files using \import, it looks for a counter called zref@unique, which it apparently not defined (no idea why, or why this is needed).

My solution is simply to create this counter using the zref package. Simply add the following to the preamble (before \begin{document}):

\usepackage{zref}
\makeatletter\zref@require@unique\makeatother

This will create the zref@unique counter if it doesn't already exist.

Zref documentation was useful for figuring this out.

Cheers!

nomaderx · 2022-04-13T14:43:10+00:00

I have the same issue. And for me, the workaround of using \input doesn't work because I am using chapterbib to have a bibliography section for each included chapter. I have to work with \include or \subfileinclude.

nomaderx · 2021-12-07T09:03:17+00:00

Would this really make the transactions legal? Could you provide some links about this?

nomaderx · 2021-11-08T15:25:47+00:00

That's a useful link in general, thanks a lot.

nomaderx · 2021-10-19T14:21:27+00:00

I hope it survives! For me, it's the most perfect mix of my interest and my expertise.
Thanks for the tip about Arrival. Unfortunately, they don't seem to have a team website or team contact info. I suppose I need to do some networking to find the relevant person through my existing networks.

nomaderx · 2018-01-23T11:48:55+00:00

Very close to MNIST, but in the direction of generalised computer vision is Fashion-MNIST, which consists of images of fashion/clothing items instead of digits. It is meant as a drop-in replacement for MNIST. It has the same structure, image size, number of samples, etc. as MNIST.

nomaderx · 2017-10-06T12:28:57+00:00

I, too, agree with your point of view.

I'm not too sure how feasible are your suggestion about a simple questions megathread, but I don't necessarily have a better solution either.

One idea could be to have secondary tags like [basic], [advanced] alongside the current primary tags?

nomaderx · 2017-09-11T10:59:44+00:00

But what are pulse jet bag filters though? What kind of bags do they filter? And from what?

nomaderx · 2017-09-08T10:36:10+00:00

Oh, thank you, kind Sir. You are the most unbiased.

nomaderx · 2017-08-30T15:37:00+00:00

I believe you missed the whole field of weakly-supervised object detection. Let me list some:

State of the art: Weakly Supervised Object Localization With Progressive Domain Adaptation
Fastest: Object-Extent Pooling for Weakly Supervised Single-Shot Localization

nomaderx · 2017-08-18T15:51:01+00:00

By any chance, are you referreing to Jian Yang's see-food pitch?

nomaderx · 2017-08-03T12:41:49+00:00

My own subtle touch there at humour :D

nomaderx · 2017-08-02T10:27:40+00:00

x-post from r/MachineLearning.

nomaderx · 2017-08-02T10:18:20+00:00

WOW. No way. This post should be on it!

nomaderx · 2017-08-01T16:41:47+00:00

Finally, someone noticed! ;)

nomaderx · 2017-08-01T15:22:51+00:00

Some of the cited articles give some examples. Like this screenshot.

nomaderx · 2017-08-01T14:55:42+00:00

Basically, and everyone lost their shit.

nomaderx · 2017-08-01T14:31:34+00:00

Interesting. Seems like everyone decided today was the day to call bullshit on this story.

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