LARGE-SCALE ASYMMETRIC COMPARISON COMPUTATION FOR BINARY EMBEDDINGS

Patent №

US 8,370,338

Granted

2013-02-05

Filed 2010

Owner

XEROX CORPORATION

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12960018

A system and method for comparing a query object and one or more of a set of database objects are provided. The method includes providing quantized representations of database objects. The database objects have each been transformed with a quantized embedding function which is the composition of a real-valued embedding function and a quantization function. The query object is transformed to a representation of the query object in a real-valued embedding space using the real-valued embedding function. Query-dependent estimated distance values are computed for the query object, based on the transformed query object and stored. A comparison (e.g., distance or similarity) measure between the query object and each of the quantized database object representations is computed based on the stored query-dependent estimated distance values. Data is output based on the comparison computation.

AI classification

AI hardware0.99
Machine learning0.89
Natural language0.50
Knowledge representation0.42
Evolutionary computation0.11
Vision0.06
Speech0.00
Planning0.00

Ownership

XEROX CORPORATION

assignment · 254430063

Assignors

GORDO, ALBERT, PERRONNIN, FLORENT

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

© 2026 NYSGPT2525 LLC