27 citations · 36 across the 4 of their papers we have counts for
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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…
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…
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…
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…
mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neighbor Queries on Multimedia Data
Omid Jafari, Parth Nagarkar, Jonathan Montaño
Many large multimedia applications require efficient processing of nearest neighbor queries. Often, multimedia data are represented as a collection of important high-dimensional fe…
Drawbacks and Proposed Solutions for Real-time Processing on Existing State-of-the-art Locality Sensitive Hashing Techniques
Omid Jafari, Khandker Mushfiqul Islam, Parth Nagarkar
Nearest-neighbor query processing is a fundamental operation for many image retrieval applications. Often, images are stored and represented by high-dimensional vectors that are ge…