Faster Approximate Pattern Matching: A Unified Approach

Explore a 21-minute IEEE conference talk on faster approximate pattern matching, presenting a unified approach developed by researchers from King's College London, Bar-Ilan University, University of Warsaw, and Max Planck Institute for Informatics. Delve into the innovative techniques and algorithms proposed by Panagiotis Charalampopoulos, Tomasz Kociumaka, and Philip Wellnitz to improve the efficiency of approximate pattern matching in various applications. Gain insights into their research findings, which are also available in their published paper on arXiv.

Faster Approximate Pattern Matching: A Unified Approach