Sentence examples for identification of correspondence from inspiring English sources

In this paper, we extended our previous two-way fusion model called "multimodal CCA + joint ICA", to three or N-way fusion, that enables robust identification of correspondence among N data types and allows one to investigate the important question of whether certain disease risk factors are shared or distinct across multiple modalities.

The patterns of haplotype-block sharing in these eight accessions are clearly not random and suggest that in larger sorghum germplasm panels, reliable identification of correspondences with adaptively important genes will be possible.

The proposed framework enables the identification of a correspondence between induced degradation in accelerated tests and actual exposure in weathering conditions.

Some properties of the model are explored using lesion studies, leading to the identification of a correspondence between the behavioural pathologies of the simulated robot and those seen in human patients suffering dysfunction of executive attention.

The direct comparison between the transcriptomic and metabolomic data in the H. chilense alloplasmic line exposed to HL allows the identification of some correspondences between changes in the expression of genes coding for enzymes and the corresponding metabolites.

A new approach to numerical flux approximation is proposed, which does not require the phase identification and determination of correspondence between the phases on adjacent elements.

In this way the correspondence between Sparus aurata and Tetraodon can facilitate the identification of genes corresponding to QTLs.

By contrast the recent work of Klette et al. [8] relates its evaluation to the use of ground truth data but purports, as we do in this work "the complexity of real-world data does not support the identification of general rankings of correspondence techniques on sets of basic sequences that show different situations".

We expected there to be some degree of correspondence between self-identification and cluster membership.

In summary, SubMap is a method that provides more general molecular subclass identification and correspondence among a collection of microarray data sets.

However, one advantage of using an interest point detector is that the identification of stable regions may exhibit better correspondence across the images than an arbitrary grid image division.