most citedLossy Image Compression -- A Frequent Sequence Mining perspective employing efficient Clustering

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DS2026

CGS: Configurable Graph Summarization with Bounded Neighborhood Loss and Query Support

Shubhadip Mitra, Sona Elza Simon, C Oswald +2

Given a large graph, how to generate a compact summary graph that is configurable by the user and supports multiple graph queries with either no loss or with high accuracy? The eve…

eess.IV2026★ 3 cited

Lossy Image Compression -- A Frequent Sequence Mining perspective employing efficient Clustering

Avinash Kadimisetty, Oswald C, Sivaselvan B +1

This work explores the scope of Frequent Sequence Mining in the domain of Lossy Image Compression. The proposed work is based on the idea of clustering pixels and using the cluster…