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Previous identification systems for WBCs consist of successive dependent stages; pre-processing, segmentation, feature extraction, feature selection, and classification.
Most existing works on HEp-2 cell classification mainly focus on feature extraction, feature encoding and classifier design.
These techniques include text segmentation, summary extraction, feature selection, term association, cluster generation, topic identification, and information mapping.
This method involves three necessary steps of tooth cavity contour extraction, feature points identification and tooth surface deformation.
Microsoft says Bing includes a "decision engine". So when a user goes to Bing to shop for a product, Microsoft deploys something called a "Sentiment Extraction" feature to scour the Internet for opinions and reviews.
Machine learning methods involving feature extraction, feature selection, and classification of faults offer a systematic approach to fault diagnosis and can be used in automated or unmanned environments.
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The solvent extraction features mass transfer between drops and the surrounding immiscible liquid.
For determination of output values, classifiers with model extraction features can be used.
After data extraction, features are generated.
The constructed RBFNs image model is generated by the support of multiple image self-extraction feature machine (MISEFM), which combined IDELA and RBFPSO algorithms to develop the universal RBFNs image describers.
In "Extraction of features", we describe the feature extraction method and normalization method for each product.
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