| 摘要 |
The disclosed pattern recognition device, using a training sample, learns a flag value representing whether or not to select K training feature sets from M training feature sets (where M > K) and linear transformation parameters for linear transformation of training feature vectors comprising the selected K training feature sets, and learns the linear transformation parameters and the flag value for which an objective function used in the training reaches a minimum value. |
