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The method uses a probabilistic pitch extraction approach in conjunction with panning masks to perform separation.
This differs from a rule extraction approach in that a human expert may be able to remove rules that look erroneous (correlated, but not chemically meaningful) or even adjust rules based on identified local trends (context).
The paper entitled "A minimax mutual information scheme for supervised feature extraction and its application to EEG-based brain-computer interfacing" by F. Oveisi and A. Erfanian proposes a two-dimensional mutual information-based feature extraction approach in the sense that an optimal feature set obtained from the data should have maximum joint data redundancy with target classes.
One question of this study apart from the principled sensitivity to capacitive electrodes for ST elevations was the reliability of this extraction approach in the clinical setup.
The approach using syntactical SynPs is more specific, i.e. adds further restrictions to the relation extraction approach in comparison to the solutions called CO and CO3.
We have introduced this interaction extraction approach in (Erkan et al., 2007) and have achieved significant improvement (55.61% F-score performance for the AIMED data set ) compared to previous results in the literature.
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In relation to isosurface extraction approaches in GPU, Reck et al. [40] and Buatois et al. [3] proposed methods for extraction from unstructured tetrahedral meshes.
Conrado, Pardo, and Rezende[5] presented a term extraction approach (unigrams) in which inductors classify the words in terms or non-terms.
In this section, we compare the feature extraction approach described in Section "Feature extraction" with respect to Lee et al. [20], here referred as Lea, Castellani et al. [22], Cea, and Bonarrigo et al. [6], Bea.
As preliminary analysis we performed a spectrogram of the temporal current line (see Figure 2) in order to visually justify the feature extraction approach described in the next section.
The Relation Extraction approach presented in [54] is based on a corpus defined by clustering NE pairs according to its context similarity (cosine similarity) and the usage of the NE tagger [54] for NE identification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com