Sentence examples for filtering classification from inspiring English sources

First, image processing techniques, such as contrast enhancement, filtering, classification, and segmentation, are used to improve the quality of the input imaging data.

Originally inspired by biological neural networks, artificial neural networks (ANNs) are powerful mathematical tools that can solve complex nonlinear problems such as filtering, classification, prediction and more.

By filtering, classification, and the preprocessing of the failure data, the numbers of failure and mean operating time between failures were obtained for each subsystem.

About 80 major plugins are currently included, covering such areas as clustering, filtering, classification, and visualization.

Finally, the utilitarian views of the computer scientist and the engineer are obviously useful in biology a mathematical description of a biological system allows the development of efficient computational tools for e.g. prediction, feature extraction, filtering, classification, and system identification.

Mahout incorporates a wide range of data mining techniques including collaborative filtering, classification and clustering algorithms.

Protein identifications were exported from the CPFP and uploaded to ProteinCenter (Proxeon, Denmark) for filtering, annotation, classification, and interpretation.

After a series of data filtering by classification of tumor subtypes, a minimal gene signature was identified to correctly predict the majority of AD and SCC cases from multiple published datasets.

The results of this optimised Gabor filter classification scheme are presented for 35 different flawed homogeneous textures.

In contrast, the work in [9] classifies fusion algorithms into estimation methods (weighted average, Kalman filter), classification methods (cluster analysis, unsupervised or self-organized learning algorithms), interference methods (Bayesian interference, Dempster-Shafter evidential reasoning), and artificial intelligence methods (neural networks, fuzzy logic).

Open and click through response rates can be dramatically affected by as much as 20-30% due to incorrect spam filter classification.