Hann is a high-performance approximate nearest neighbor search (ANN) library for Go. It provides a collection of index data structures for efficient similarity search in high-dimensional spaces.
It took only a few minutes before everyone in the church knew that another person had been shot. I was sitting with Trygve Olsen, a big man in a wool hat and puffy vest, who lifted his phone to show ...
ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
My husband and I just bought a new house in a rural area that is increasingly becoming suburbia, much to the dislike of the older residents. We tried to put our best foot forward with our nearest ...
Navigability captures the ability of a complex network to support efficient, decentralized search. The concept has a rich history, from Milgram’s "six degrees of separation" to Kleinberg’s ...
Abstract: Nearest neighbor (NN) graph based visual re-ranking has emerged as a powerful approach for improving retrieval accuracy, offering the advantages of effectively exploring high-dimensional ...
Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...
Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results