Sentence examples for complementary information in from inspiring English sources
Multimodal imaging has made great contribution for diagnosis and therapy of disease since it can provide more effective and complementary information in comparison to any single imaging modality.
The data indicate that the performance of the validated method offers equivalent and complementary information, in terms of selectivity, sensitivity, accuracy, linearity and precision, to that of an established gradient LC method employed for similar purposes.
In order to avoid these challenges, studies can utilize a model organism such as Arabidopsis thaliana, and a combination of analytical techniques that can reveal complementary information in order to assess how the different experimental conditions influence the uptake and phytotoxicity of ENMs.
We fuse this feature with other existing low-level features, which have complementary information, in a late fusion framework.
The abnormalities in PET and MRI are based on different mechanisms, and hence they may provide complementary information in myocarditis.
There is strong neurophysiological evidence sug- gesting that processing of speech signals in the brain happens along parallel paths which encode complementary information in the signal.
Specifically, by preserving the relevant information with respect to these feature variables maximally, the MvIB method is able to integrate various aspects of semantic information into the final video partitioning results, and thus captures the complementary information resided in multiple feature variables.
The experimental results obtained for a large dataset that combines collections such as FG-Net, Adience, GenderChildren, The Image of Groups and Boys2Men evidence the complementary information contained in both local descriptors and neural networks, as their fusion boosts the accuracy of non-adult detection to over 93%.
Furthermore, it gains complementary information, which in turn improves accuracy.
The proposed new data utilization strategy based on multi-channel data, leverages upon the complementary information captured in microphone array speech to simultaneously perform beamforming and dereverberation.
On the other hand, by leveraging the complementary information embedded in the multimodality representation, better performance on disease diagnosis can be expected.
