Training a classifier by dimension-wise embedding of training data
US8380647B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 14, 2009 |
| Grant date | Feb 19, 2013 |
| Priority date | — |
| Expiry date | Dec 21, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/7715
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A classifier training method and apparatus for training, a linear classifier trained by the method, and its use, are disclosed. In training the linear classifier, signatures for a set of training samples, such as images, in the form of multi-dimension vectors in a first multi-dimensional space, are converted to a second multi-dimension space, of the same or higher dimensionality than the first multi-dimension space, by applying a set of embedding functions, one for each dimension of the vector space. A linear classifier is trained in the second multi-dimension space. The linear classifier can approximate the accuracy of a non-linear classifier in the original space when predicting labels for new samples, but with lower computation cost in the learning phase.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.