Exploiting characteristic quantities, called features, for automatically determining categories is known in computer science as unsupervised learning [21] [23].
This internal fat deposition is assessed by quantification of intrahepatocellular lipid by MRI by exploiting characteristic differences in resonant frequencies between protons in fat and water environments, determining the differences in intensity between IP and OP images[ 29 31].
While a common approach suggests exploiting the variations of the wireless channel, an alternative is to exploit characteristics of the video stream to improve the transmission.
Features used for classification were designed that make no assumptions about the corrupting noise signal, but rather exploit characteristics of the speech signal itself.
This suggests that future work in AMT should focus on the development of machine learning techniques that exploit characteristics that are often found in music, such as sparseness in time and frequency and a tendency for continuity in spectral representations.
Approaches of missing data mask estimation, such as Bayesian classification [17], harmonic mask estimation [10], local SNR-based mask estimation [18, 19], and VQ mask estimation [9] mainly exploit characteristics of the speech signal.
Some projects such as i4Life [ 45] have developed tools that exploit characteristics of biological nomenclature to detect relationships between taxonomies, providing a useful "first draft" cross-map.
Advanced graph decomposition and path tracing algorithms exploit characteristic connectivity properties of the Cumomer/EMU networks, like immanent sparsity and isomorphism (Weitzel et al., 2007).
Currently, microbubbles are being designed for specific research or clinical use by exploiting certain characteristics of the microbubble such as the shell, surface characteristics, and/or gas content.
