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I curious about the possibility of utilizing the `fastpair` data structure for querying nearest neighbors in disjoint sets à la cross $k$-nearest, for example. Would that even be possible with `fastpa…
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## 論文リンク
- [arXiv](https://arxiv.org/abs/1909.06872)
## 公開日（yyyy/mm/dd）
2019/09/15
CVPR 2020
## 概要
## TeX
```
% 2019/09/15
@inproceedings{
cohen2020detecting,
title={Detecti…
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This is currently not supported but would be amazing to have:
https://github.com/jupyterlite/jupyterlite does not support some of the extensions.
I have some spare capacity to do this over the …
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Users often get poorer results by not capitalizing appropriately, so handle this step for them.
Verify that the intuitively associated words are indeed closer: [Cc]hihuahua, [Ff]reud, [Aa]pple
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TLDR: I think we have too many examples, in particular in
- [clustering](https://scikit-learn.org/stable/auto_examples/index.html#clustering)
- [ensemble](https://scikit-learn.org/stable/auto_exampl…
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This is a new concept in the sparse convolution framework. There is a question about the point cloud data structure in this framework.
Point clouds belonging to different batches form a tensor in …
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> For example, I once needed code to do fast calculation of nearest-neighbors of a given data point
First google hit for "nearest neighbor" is scikit-learns k nearest neighbor classifier, which lin…
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Hi!
Working on Win 10, Python 3.6.12
I'm trying to do a simple test run for ModelNet40 with a code like this added at the end of `networks\network_classif.py` file:
```
if __name__ == "__main__…
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#### Description
For `ball_tree` and `kd_tree` algorithms, some stats about the tree queries highly decrease the parallelization performances increase.
Those stats are:
- `n_trims`: queried p…
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The code for the distance_with_neighbor, distance_all, and nearest_neighbors functions seems to be missing.
All I am see is the following:
import math
def distance_with_neighbor(first_neighbor, …