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Like HMMs (which they subsume), these allow for local interdependence of hidden states, but employ features that depend not only on adjacent pairs of these states, but also on any desired properties of the entire input.
However, only very few link prediction works tackle multiple networks at a time [10 13], while most link prediction systems only employ features internal to the network under prediction, without considering additional link information from other OSNs.
Leahne et al. [32] employ features at the resolution of shots where each shot feature vector contains % speech, % music,% silence, % quiet music, % other audio, % static-camera frames per shot, % nonstatic-camera frames per shot, motion intensity, and shot length.
If the acquired models lack geometric details to be used as good anchor points for correct registration, we can still employ features extracted from other visual sources provided by the laser range scanners, e.g., the reflectance image.
New music abandoned much of the historical, nationally developed schools of harmony and melody in favor of experimental music, atonality, minimalism and electronic music, all of which employ features that have become common to European music in general and not Italy specifically.
Usually such approaches employ features obtained from wavelet transformed images [2,3,30,31], features obtained from Fourier transformed images [16], or other texture features [32,15,33].
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Specifically, we employ feature extraction alternatives that employ spectral analysis and cepstral analysis.
Common approaches are to employ feature selection or extraction to reduce the data dimensions.
One simple method is to employ feature-level fusion which merges all features from different sources into a large feature vector as the input to a single classifier.
The pressing market demand for competitive performance/cost ratios compels Critical Real-Time Embedded Systems industry to employ feature-rich hardware.
In order to concentrate on individual features rather than a group of features, and test the effectiveness of their combinations, we employ feature selection (MRMR) and extraction (PCA) for a single-task prediction.
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