Sentence examples for by extracting features from from inspiring English sources
Each RSS fingerprint had been generated by extracting features from 20 Wi-Fi scans, which took approximately two minutes.
In the proposed scheme, master shares are first generated by extracting features from temporally informative representative images (TIRIs) of both the 2D video frames and depth maps.
Using concepts of CBIR, the authors propose to automate the testing oracles for this kind of programs by extracting features from the output images and comparing them with a similarity metric.
Automated Writing Evaluation (AWE systems are built by extracting features from a 30 min essay and using a statistical model that weights those features to optimally predict human scores on the 30 min essays.
By extracting features from new texts to be classified, we can according to Bayes' theorem calculate the posterior probability of the text having a certain label (e.g., radical or non-radical) as: P ( label | f 1, …, f n ) = P ( label ) P ( f 1, …, f n | label ) P ( f 1, …, f n ).
EventMine accounts for the output of multiple syntactic parsers by extracting features from each parser's output separately.
The proposed system can identify singing voice and recognize a singer from IVS. Significant accuracy can be achieved by extracting features of audio part from IVS.
In the current text classification paradigm, human researchers create an approach for extracting features from text by looking at words, phrases, parts of speech, other morphological features, employing a lexicon, and mapping relations between words to determine concept families and semantic similarities.
Data-driven virtual sensing techniques are favorable by fusing the extracted features from noisy online measurements to infer the difficult-to-measure parameters based on artificial intelligence models (Gelman et al. 2013).
The objective of this paper is to discuss two different categories on structural damage detection: One is the centralized feature extraction technique by using multi-sensor architecture and the other is the pattern-level data fusion by using the extracted features from individual sensor.
The proposed method is able to deal with the problem of EWT by re-assigning the extracted features from EWT to the more similar type of segment using FCM algorithm.
