Patent · US Active

Generating feature embeddings from a co-occurrence matrix

US10685012B2 · kind B2 · utility

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20Claims
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Key dates

Filing dateFeb 3, 2017
Grant dateJun 16, 2020
Priority date
Expiry dateAug 13, 2038

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N5/04
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Methods, and systems, including computer programs encoded on computer storage media for generating compressed representations from a co-occurrence matrix. A method includes obtaining a set of sub matrices of a co-occurrence matrix, where each row of the co-occurrence matrix corresponds to a feature from a first feature vocabulary and each column of the co-occurrence matrix corresponds to a feature from a second feature vocabulary; selecting a sub matrix, wherein the sub matrix is associated with a particular row block and column block of the co-occurrence matrix; assigning respective d-dimensional initial row and column embedding vectors to each row and column from the particular row and column blocks, respectively; and determining a final row embedding vector and a final column embedding vector by iteratively adjusting the initial row embedding vectors and the initial column embedding vectors using the co-occurrence matrix.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.