Invariant pattern recognition
US7167849B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2003 |
| Grant date | Jan 23, 2007 |
| Priority date | — |
| Expiry date | May 20, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An adaptive pattern classifier makes use of training patterns and a known non-linear invariance transformation to generate a classifier representation based on an infinite set of virtual training samples on a training trajectory. Given the non-linear invariance transformation, optimization can be formulated as a semidefinite program (SDP), which is given by a linear objective function that is minimized subject to a linear matrix inequality (LMI). In this manner, a small training set may be virtually supplemented using the non-linear invariance transformation to learn an effective classifier that satisfactorily recognizes patterns, even in the presence of known transformations that do not change the class of the pattern.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.