Abstract: The authors give work-optimal and polylogarithmic time parallel algorithms for solving the normalized edit distance problem. The normalized edit ...
Abstract: The authors give work-optimal and polylogarithmic time parallel algorithms for solving the normalized edit distance problem. The normalized edit ...
We give work-optimal and polylogarithmic time parallel algorithms for solving the normalized edit distance prob- lem. The normalized edit distance between ...
The authors give work-optimal and polylogarithmic time parallel algorithms for solving the normalized edit distance problem and present a polylogrithmic ...
This work gives provably better algorithms for normalized edit distance computation with proven complexity bounds: an -time algorithm when the cost function ...
Aug 20, 2017 · I have a question that can we normalize the levenshtein edit distance by dividing the e.d value by the length of the two strings? I am asking ...
Missing: fast | Show results with:fast
Parallel algorithms for fast computation of normalized edit distances. Proceedings. Eighth IEEE Symposium on Parallel and Distributed Processing (SPDP' 96) ...
We present an efficient O(n) numerical algorithm for first-order approximation of geodesic distances on geometry images, where n is the number of points on ...
Fast Computation of Normalized Edit Distances. As explained in Section IILA, the computations for all rows of the image can be performed in parallel.
Jul 26, 2024 · We study efficient parallel algorithms for output-sensitive edit distance, achieving asymptotically better cost bounds than the standard Θ(nm) dynamic ...