Sentence examples similar to a recognition problem in from inspiring English sources

Two convincing experimental verifications are provided, supporting not only the theory by a white-black flag recognition problem on a pixel-by-pixel basis, but also the validity of the conjecture by a facial recognition problem in the presence of localized noise typically represented by clutter or occlusion in imagery.

We then applied the proposed method to a gait phase recognition problem in our EMG signal-based walking assistance system.

Linear Regression Classification (LRC) is a newly-appeared pattern recognition method, which formulates the recognition problem in terms of class-specific linear regression with sufficient training samples per class.

Different sources of complicacies when present in face images it becomes difficult to solve this recognition problem in efficient manner.

Therefore, to compare the performance of the individual models and the model ensembles, we have applied, along with the total AUC comparison, partial AUC (pAUC) statistical analysis [ 49] and the calculation of other metrics (enrichment descriptors) that have been proposed to address the early recognition problem in virtual screening [ 48, 50, 51].

In this study a new approach to pattern recognition problems in astroparticle physics is presented.

The SVM provides a powerful tool to address many pattern recognition problems in which the observations lie in a high dimensional feature space.

This transfer function is used for pattern recognition problems (in which a decision is being made by the network).

To develop an accurate prediction model for pattern recognition problems in bioinformatics, one of the key steps is to represent the protein sequences with appropriate descriptors that can truly reflect the intrinsic correlation with the target sequences to be predicted [ 29].

Significant research has been carried out on document analysis and recognition problems in different Indian scripts.

Machine learning algorithms have been extensively applied to classification and pattern recognition problems in the past years.