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Experimental comparisons demonstrate that C2 is not only more accurate than the learner built from original noisy sources, but also more reliable than Bagging [4] or aggressive classifier ensemble (ACE) [56], which are two degenerated components/variants of C2.
The target object is an image to be inferred from a number of blurred and noisy sources, possibly from different sensors under various conditions (i.e. resolution, shift, orientation, blur, noise...)...
More generally damaging are the effects of the "No Noise" digital restoration system, which stifles Caruso's voice, adds spurious echo, subjects accompaniments to the audio equivalent of a sausage grinder and only partly eliminates the surface din of some very noisy sources.
Both measures filter out noisy sources and reverberation bounces and, thus, provide a relatively high amount of true positives.
The FE is typically used for the extraction of cryptographic keys from noisy sources such as physical unclonable functions (PUFs) [14 16].
Many videos used in defense and security applications are outdoor videos whose quality may be degraded by various noisy sources, such as atmospheric turbulence, and sensor platform scintillation.
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We suggest that the brain networks subserving intelligence may be better identified with a less noisy source of interest, which can be acquired from SBM.
The motion estimation process must be able to track objects within a noisy source.
In the future, we will do more research on the fusion of the noisy images, in order to carry out denoising and fusion of noisy source images simultaneously.
To express the noisy source speech with a sparse representation of source and noise dictionaries, a simple magnitude spectrum was used to construct the source and noise dictionaries.
The spectrum of the noisy source signal at frame l is approximately expressed by a non-negative linear combination of the source dictionary, noise dictionary, and their activities.
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