Faster Approximate Pattern Matching: A Unified Approach
Offered By: IEEE via YouTube
Course Description
Overview
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.
Syllabus
Faster Approximate Pattern Matching: A Unified Approach
Taught by
IEEE FOCS: Foundations of Computer Science
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