Sentence examples for a boosting scheme from inspiring English sources

In further work [24] the authors consider a boosting scheme for assigning weights to frames, rather than just to complete sentences.

One of the first approaches to utterance-level boosting is due to Cook and Robinson [20], who employed a boosting scheme, where the sentences with the highest error rate were classified as "incorrect" and the rest "correct," irrespective of the absolute word error rate of each sentences.

Finally, Meyer and Schramm [13] propose an interesting boosting scheme with a weighted sum model recombination.

A local feedback amplifier based on a wide swing gain boosting scheme with dc level shifting has been used.

Improved write features are attributed to the boosting scheme from both sides of the SRAM cell.

Otherwise, the boosting scheme will not work.

From the figure, the effectiveness of the boosting scheme is observed.

The effectiveness of the boosting scheme proposed in [27] has been demonstrated on the problem of face recognition.

A recent work in [27] has broken this limitation by proposing a boosting algorithm that puts the learning focus on the feature extractor rather than the classifier so that the new boosting scheme works with LDA-style learners.

Furthermore, the training sample selection scheme in the original LDA-style boosting scheme proposed in [27] tends to prevent the inclusion of "difficult" (hard to classify correctly) samples in subsequent boosting steps.

However, this issue is out of the scope of this paper and it is left for future works since this paper focuses on the incorporation of the boosting scheme in gait recognition.