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## Description
For vector search, right now, we benchmark ANN methods that approximate nearest neighbor search. In addition to this, some users want to run exact k-NN search that returns the exact …
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https://chatgpt.com/share/6722826e-2730-800e-9be1-5c6b505e6fa3
Las tecnologias se agregan en el learn.json de cada proyecto
Revisa todo el syllabus y ve editando en github cada project y color lso…
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1) In the querying operation have the option of the k-NN of the same class as the query_data.
2) An option that allow you execute the querying operation over the same data (query_data = data) avoidin…
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We already have the building blocks for ANN. @krstopro, how much work do you believe it is to also have it for manifold/dimensionality reduction?
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I am encountering following issue during k nearest neighbors script run, can you please help
[Adaptive m…
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The major goals of this project are to:
1. generate synthetic plot networks in feature space (i.e. #1) based on reference plot locations
2. use the _k_ nearest neighbors and reference treelists to …
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O(N^2) algorithm of K-Means and Nearest Neighbors can be massively accelerated using GPUs.
Proof of concept: https://github.com/arnocandel/kmcuda
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hello shaharzuler, thank you for your release, I am very interested in your work on Myocardium Motion. I have a question that the Myocardium Motion and Myocardium Strain may based on short aixs of CTA…