This work presents the development of algorithms for approximate string matching using parallel methods. It intends to do the maximum of molecular sequences comparisons per unity ...
We give near-tight bounds for estimating the edit distance between two non-repetitive strings (Ulam distance) with constant approximation, in sub-linear time. For two strings of l...
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Name matching—recognizing when two different strings are likely to denote the same entity—is an important task in many legal information systems, such as case-management syste...