Class discriminative feature transformation
US9471886B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 13, 2014 |
| Grant date | Oct 18, 2016 |
| Priority date | — |
| Expiry date | Sep 26, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/21324
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for feature transformation of a data set includes: receiving a data set including original feature samples with corresponding class labels; splitting the data set into a direction optimization set and a training set; using the direction optimization set to calculate an optimum transformation vector that maximizes inter-class separability and minimizes intra-class variance of the feature samples with respect to corresponding class labels; using the optimum transformation vector to transform the rest of the original feature samples of the data set to new feature samples with enhanced discriminative characteristics; and training a classifier using the new feature samples, wherein the method is performed by one or more processors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.