no code implementations • 16 Nov 2022 • Omid Jafari, Parth Nagarkar
One of the most time-consuming processes in LSH is to find the neighboring points in the projected spaces.
no code implementations • 8 Sep 2021 • Shikun Zhang, Omid Jafari, Parth Nagarkar
As a result, researchers started to focus on reducing data annotation and labeling costs.
no code implementations • 10 May 2021 • Nada Ibrahim, Preeti Maurya, Omid Jafari, Parth Nagarkar
Video analytics systems perform automatic events, movements, and actions recognition in a video and make it possible to execute queries on the video.
no code implementations • 17 Feb 2021 • Omid Jafari, Preeti Maurya, Parth Nagarkar, Khandker Mushfiqul Islam, Chidambaram Crushev
Locality Sensitive Hashing (LSH) is one of the most popular techniques for finding approximate nearest neighbor searches in high-dimensional spaces.
Databases H.2.4
no code implementations • 15 Dec 2019 • Omid Jafari, Parth Nagarkar, Jonathan Montaño
Locality Sensitive Hashing is one of the most popular approximate processing techniques for finding similar points in high-dimensional spaces.