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Furthermore, this paper proposes a framework of ontology-based query language of data summarization based on the proposed ontology structure.
The usefulness of signal summarization based on the random spliced method [37] has been assessed for audio pattern recognition [65].
One of the first applications of text summarization in the biomedical domain was for generating graphical abstractive summarization based on the semantic interpretation of the biomedical text (Fiszman et al., 2004).
Interestingly, while the differences in cohort group phenotypes are readily apparent from the genotype summary view, the distributions are not very different between the 'affected' and the 'unaffected'group, highlighting the usefulness of summarization based on the simplified genotype.
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Moreover, instead of summarization based on clustering, the robustness to inference shall be studied in techniques such as the perturbations of PoolView [31], synopsis diffusion [36] and text summarization techniques [37].
Navigating on the tag cloud and clicking on the most impressive moments were the preferred features of only 18.2% of the inquiries, while video summarization based on crucial moments of the video has 15.9% of players' appreciation.
Fig. 7 Video summarization based on key points of the video A like bar chart, where each bar provides information on the time instant, and that can identify the most impressive moments.
Fig. 7 Video summarization based on key points of the video.
Raw data were subjected to the frozen Robust Multi-Array Average (fRMA) algorithm56, followed by summarization based on multi-array model, fitted using the Median Polish algorithm.
For each probe set, an expression measure was calculated using the robust multiarray average (RMA) [ 21], consisting of three preprocessing steps: convolution background correction, quantile normalization [ 22], and a summarization based on a robust multiarray model fit using the median polish algorithm.
In the paper "Disease Related Knowledge Summarization Based on Deep Graph Search," X. Wu et al. developed an approach which is able to automatically retrieve disease related knowledge in a summarized form from the large volume of online biomedical literature.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com