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Support Vector Machines (SVM) is a supervised machine learning algorithm for classification and regression tasks. SVM works by finding the optimal hyperplane that separates data points of different cl…
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first，i use consine_metric_learning ,train_market.py export query-feature-mat and gallery-feature-mat ,but query-feature-mat has 3368* 128,while gallery-feature-mat has 19732* 128dims, when i run…
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Issue by @MaxUlysse, moved from SciLifeLab#666
- [ ] [ExpansionHunter](https://github.com/Illumina/ExpansionHunter) for estimating repeat sizes
- [ ] [QDNAseq](https://github.com/ccagc/QDNAseq) CN…
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## ReID survey
* Awesome ReID https://github.com/bismex/Awesome-person-re-identification
* [Deep Learning for Person Re-identification: A Survey and Outlook](https://arxiv.org/abs/2001.04193)
## PA…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Is your feature request related to a problem? Please describe.
1. vector distance calculation is widely adopte…
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It seems that in practice the most popular methods for time series classification are distance-based, typically using 1-NN with Euclidian or dynamic time warping distance. These don't exactly fit into…
bnaul updated
8 years ago
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https://arxiv.org/abs/1503.03832
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Can you rearrange like this:
Pre-Sessional
Foundation
Undergraduate
Pre-Master's…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Hi,
This is a coolest project, really awesome :-)
Would you care to kindly comment on the distance metric/s implemented and the rationale thereof?
In many machine learning scenarios we pick e.…