activity
20192022
most citedA Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data

27 citations · 36 across the 4 of their papers we have counts for

collaborators

10 papers

cs.DB20221 cited

Experimental Analysis of Machine Learning Techniques for Finding Search Radius in Locality Sensitive Hashing

Omid Jafari, Parth Nagarkar

Finding similar data in high-dimensional spaces is one of the important tasks in multimedia applications. Approaches introduced to find exact searching techniques often use tree-ba…

cs.LG202127 cited

A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data

Shikun Zhang, Omid Jafari, Parth Nagarkar

Machine learning has been utilized to perform tasks in many different domains such as classification, object detection, image segmentation and natural language analysis. Data label…

cs.CV2021

A Survey of Performance Optimization in Neural Network-Based Video Analytics Systems

Nada Ibrahim, Preeti Maurya, Omid Jafari +1

Video analytics systems perform automatic events, movements, and actions recognition in a video and make it possible to execute queries on the video. As a result of a large number…

cs.DB20218 cited

A Survey on Locality Sensitive Hashing Algorithms and their Applications

Omid Jafari, Preeti Maurya, Parth Nagarkar +2

Finding nearest neighbors in high-dimensional spaces is a fundamental operation in many diverse application domains. Locality Sensitive Hashing (LSH) is one of the most popular tec…

cs.DB2020

Experimental Analysis of Locality Sensitive Hashing Techniques for High-Dimensional Approximate Nearest Neighbor Searches

Omid Jafari, Parth Nagarkar

Finding nearest neighbors in high-dimensional spaces is a fundamental operation in many multimedia retrieval applications. Exact tree-based indexing approaches are known to suffer…

cs.DB2020

Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors

Omid Jafari, Parth Nagarkar, Jonathan Montaño

Similarity search in high-dimensional spaces is an important task for many multimedia applications. Due to the notorious curse of dimensionality, approximate nearest neighbor techn…