PyImageSearch

DECEMBER 23, 2024

Or think about a real-time facial recognition system that must match a face in a crowd to a database of thousands. This is where Approximate Nearest Neighbor (ANN) search algorithms come into play. Imagine a database with billions of samples ( ) (e.g., Traditional exact nearest neighbor search methods (e.g.,

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K-nearest Neighbors Algorithm Deep Learning Deep Learning 115

AWS Machine Learning Blog

FEBRUARY 13, 2025

Caching is performed on Amazon CloudFront for certain topics to ease the database load. Amazon Aurora PostgreSQL-Compatible Edition and pgvector Amazon Aurora PostgreSQL-Compatible is used as the database, both for the functionality of the application itself and as a vector store using pgvector. Its hosted on AWS Lambda.

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AWS K-nearest Neighbors Clustering Algorithm 107

AWS Machine Learning Blog

APRIL 3, 2024

We detail the steps to use an Amazon Titan Multimodal Embeddings model to encode images and text into embeddings, ingest embeddings into an OpenSearch Service index, and query the index using the OpenSearch Service k-nearest neighbors (k-NN) functionality. These steps are completed prior to the user interaction steps.

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K-nearest Neighbors AWS Machine Learning Machine Learning 131

PyImageSearch

JANUARY 27, 2025

Home Table of Contents Approximate Nearest Neighbor with Locality Sensitive Hashing (LSH) What Is Locality Sensitive Hashing (LSH)? Refinement: The candidate set is then refined by computing the actual distances between the query point and the candidates to find the approximate nearest neighbors. Download the code!

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K-nearest Neighbors Algorithm Data Preparation Database 96

AWS Machine Learning Blog

FEBRUARY 25, 2025

Services class Texts belonging to this class consist of explicit requests for services such as room reservations, hotel bookings, dining services, cinema information, tourism-related inquiries, and similar service-oriented requests.

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Algorithm Machine Learning Machine Learning K-nearest Neighbors 75