Sentence examples for extraction localization from inspiring English sources

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This section assesses the performance of the EEG abnormalities detection and localization schemes using the T-F image processing techniques, defined in the previous section in terms of features selection and extraction, localization and classification.

Similar(59)

Here, a model for two-layer biphasic flow and homogeneous reaction is proposed for co-current reactive extraction, demonstrating that localization and intensification of reaction occurs in the region between the entrance and crossover.

The global chain including foreground extraction and 3D localization, still needs to be evaluated intensively on the above dataset.

Biotinylated KV10.1 was preferentially found in the nuclear fractions, and a significant fraction was resistant to Triton X-100 extraction, indicating INM localization (Fig. 9).

For example, fluorescence in situ hybridization studies of nuclear halos generated after high-salt extraction demonstrated the localization of several active genes on the nuclear matrix, while inactive gene loci were found in the extended DNA loops of the halo [48].

Several approaches to resolving the salient object detection problem consist of two steps: saliency map extraction and salient object localization.

Pattern recognition methods for data retrieval have been applied to fusion databases for the localization and extraction of similar waveforms within temporal evolution signals.

A regular iris recognition system consists of different major steps, including image acquisition, iris localization, feature extraction, and matching and classification.

That face recognition system combines methods of face localization and extraction of structural characteristics of a face, such as eyes and nose shape and size, face shape, face colour and other distinguishable features and holistic methods, such as eigenfaces or fisherfaces.

Such morphology enables rapid tapping and the detection, localization, and extraction of embedded foods such as the wood-boring larvae of cerambycid beetles.

Recent studies have shown that relying on Gene Ontology (GO) for feature extraction can improve protein subcellular localization prediction performance.

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