METHOD FOR LOW DISTORTION EMBEDDING OF EDIT DISTANCE TO HAMMING DISTANCE

Patent №

US 8,060,808

Granted

2011-11-15

Filed 2007

Owner

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

+1 more

AI components

2

nlp · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11816890

A method of embedding the edit distance metric into the Hamming distance metric with low distortion. In other words, two input character strings are mapped to two corresponding output bit strings such that the Hamming distance between the output strings is approximately proportional to the edit distance between the two corresponding input strings.

AI classification

AI hardware1.00
Natural language0.73
Machine learning0.34
Knowledge representation0.01
Vision0.00
Evolutionary computation0.00
Speech0.00
Planning0.00

Ownership

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

assignment · 183040393

THE TRDF RESEARCH & DEVELOPMENT FOUNDATION LTD

assignment · 269490415

Assignors

OSTROVSKY, RAFAIL

On an employer assignment, the assignors are typically the inventors.

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