Sentence examples for pattern classifications from inspiring English sources

Identity recognition faces several challenges especially in extracting an individual's unique features from biometric modalities and pattern classifications.

These fuzzy neural networks have been applied efficiently in novel applications for pattern classifications of signatures and fingerprints and, they produce potential results.

Clustering methods haves gained a great application in many areas such as data mining, document retrieval, image segmentation and pattern classifications.

Therefore, the NN has been extensively applied to the areas that require cognitive tasks, such as predictive modeling and pattern classifications.

The effectiveness of the membership functions in pattern classifications can be objectively measured in terms of interpretability and classification accuracy in the conformity of the decision boundaries to the inherent probabilistic decision boundaries of the training data.

Based on a competitive training approach, this type of model is capable of clustering input data according to their similarities and may be later of use for pattern classifications (Haykin 1999; Kohonen 1982).

Pattern classification techniques are indispensable in cheminformatics.

It is a supervised pattern classification approach.

Neural networks are now widely used for pattern classification.

Maximum similarity criterion is used for fingerprint pattern classification.

OCR is one of the most researched pattern classification problems.