Title
Pattern Matching under Polynomial Transformation
Abstract
We consider a class of pattern matching problems where a normalizing polynomial transformation can be applied at every alignment of the pattern and text. Normalized pattern matching plays a key role in fields as diverse as image processing and musical information processing, where application specific transformations are often applied to the input. By considering a wide range of such transformations, we provide fast algorithms and the first lower bounds for both new and old problems. Given a pattern of length m and a longer text of length n, where both are assumed to contain integer values only, we first show O(n log m) time algorithms for pattern matching under linear transformations even when wildcard symbols can occur in the input. We then show how to extend the technique to polynomial transformations of arbitrary degree. Next we consider the problem of finding the minimum Hamming distance under polynomial transformation. We show that, for any epsilon > 0, there cannot exist an O(nm(1-epsilon)) time algorithm for additive and linear transformations conditional on the hardness of the classic 3SUM problem. Finally, we consider a version of the Hamming distance problem under additive transformations with a bound k on the maximum distance that needs to be reported. We give a deterministic O(nk log k) time solution, which we then improve by careful use of randomization to O(n root k log k log n) time for sufficiently small k. Our randomized solution outputs the correct answer at every position with high probability.
Year
DOI
Venue
2013
10.1137/110853327
SIAM JOURNAL ON COMPUTING
Keywords
DocType
Volume
string algorithms,pattern matching,normalization,3SUM-hardness
Journal
42
Issue
ISSN
Citations 
2
0097-5397
1
PageRank 
References 
Authors
0.35
0
8
Name
Order
Citations
PageRank
Ayelet Butman1967.58
Peter Clifford2422.68
Raphaël Clifford326828.57
Markus Jalsenius4878.93
Noa Lewenstein516413.17
Benny Porat6646.56
ely porat7100779.16
Benjamin Sach89311.40