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This paper presents a new approach for the prediction of substructures in building façades based on sparse observations.
The estimation of these patterns, which is mostly done based on sparse observations and expert knowledge, is a major source for predictive model uncertainty.
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Due to the lack of information on historical conditions and peat accumulation, potential peat deposits and cumulative organic carbon stores should not be calculated based only on sparse observations of the more typically studied peatland types (e.g., open bogs and fens).
This paper proposes a novel bearing fault diagnosis method based on sparse discriminant manifold projections (SDMP).
Recently a novel shape prior modeling method has been proposed based on sparse learning theory.
The key-frames are automatically selected and super-resolved using a method based on sparse regression.
In the LSDSR, a discriminative loss function based on sparse coefficients is imposed on the locality-sensitive sparse representation, which makes the optimized dictionary for sparse representation be discriminative.
We also proposed a 3D facial expression processing method, which was based on sparse representation.
SCMA is a novel NOMA technology based on sparse codebooks [8].
Thus, in the proposed approach, we specially develop a binary classifier based on sparse representation.
This statement would seem to suggest that the initial restrictions were issued too early based on sparse evidence of harmfulness and a better-safe-than-sorry rationale.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com