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This RFC proposes adding a function to calculate the City Block (Manhattan) distance between two strided arrays.
Package: `@stdlib/math/strided/distances/cityblock`
The function should have the …
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#### Description
Hi, is there going to be some metric learning algorithm on the semi-supervised direction, utilising both labels/pairwise constraints and unlabelled data to derive the distance metr…
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If the model is returning cosine distance:
https://github.com/sicara/easy-few-shot-learning/blob/8422b97155f6edd506e99fd5b83362ee36865f1e/easyfsl/methods/simple_shot.py#L29
Does that mean the lo…
Y-T-G updated
8 months ago
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Sorry it's not the key point of your paper.
After succesfully getting result of your batch hard loss function. I tried to check the result of lifted loss.
When I use the euclidean distance, the dist…
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- *Can Shared-Neighbor Distances Defeat theCurse of Dimensionality?* Notes the usefulness of shared neighbors as a similarity metric cf actual distance, which usefulness degrades at higher dimensions.…
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### Describe the Issue
The instructions for the Book Recommendation Engine using KNN project for the Machine Learning with Python module state:
"Create a function named get_recommends that takes a…
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The Goal of the project is to do Face recognition task using Siamese Neural Network that is trained over a triplet loss function , This is useful in situations where you have limited dataset for train…
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**[ @SallyMcGrath](https://github.com/SallyMcGrath)** cloned issue [Migracode-Barcelona/Module-JS1#13](https://github.com/Migracode-Barcelona/Module-JS1/issues/13) on 2024-07-04:
> ### Coursework co…
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Food Delivery services like Zomato and Swiggy need to show the accurate time it will take to deliver your order to keep transparency with their customers. These companies use Machine Learning algorith…
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### Description of the new feature / enhancement
I should be able to set the duration the spotlight appears.
### Scenario when this would be used?
There exists a delicate balance in the unive…