Sentence examples for recognition parameters from inspiring English sources

After GA optimization of pattern recognition parameters, 100% correct classification of a validation set was achieved using both the residual variance analysis and the Mahalanobis distance methods.

However, although software installation and use was little problem, there were difficulties with workspace and webcam set-up, establishing facial recognition parameters and maintaining a lengthy live video-feed: "….the invigilator stopped the exam because the camera feed wasn't coming through took 40 min to fix, 40 min of lost time.

The concurrent normalization of tissue lipase and enhancement of glucose utilization indices by db/db utero-ovarian compartments, under moderated insulin recognition parameters, indicated that P-HRx effectively suppressed the severity of both the structural and endometabolic consequences of the DOS in db/db groups, without restraining hyperglycemic conditions.

In a second step, the optical character recognition parameters were optimized for each of the eight series of paper listings due to their differing formats, thereby allowing their conversions into an electronic database.

In this work, an innovative real-time power management strategy framework is proposed, including short horizon driving pattern prediction, driving pattern recognition, parameter off-line optimisation, parameter on-line prediction modelling, and power management strategy real-time application.

The proposed SEMS performs various tasks such as data acquisition/mining/refinement, pattern recognition, learning parameters and offline/online decision making.

The two situations may need different tuning of the recognition step parameters (here only ) in order to maximize the accuracy of the recognition, but we kept the same value for comparison purposes.

In model-based approaches, compensation is performed on the pre-trained recognition model parameters so that the modified recognition models can more effectively classify the mismatched test speech features collected in the application environment.

To solve this problem, this paper presents a method for the automatic recognition and parameter extraction of borehole geometric features of camera images.

The advantage of cyclostationary feature detection lies in its ability to separate the signal of interest (SOI) from noise and interference in the spectral correlation plane, making it well suited for modulation recognition and parameter estimation.The framework of CS-FAM is illustrated in Figure 1.

A final assessment of the model validity is obtained by incorporating the whole DO dynamics (model, fuzzy pattern recognition and parameter combination) into the general lagoon model and producing a consistently correct series of DO daily distributions over a yearly cycle.