Inverse molecular design is critical in material science and drug discovery, where the generated molecules should satisfy certain desirable properties.
Five-fold cross-validation with 180 stress and 201 rest MPIs was used for training and internal validation; the remaining images were used for testing.
Further, we provide an alternative explanation of the EGSDE as a product of experts, where each of the three experts (corresponding to the SDE and two feature extractors) solely contributes to faithfulness or realism.
Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing.
This framework has been successfully applied to Baidu's sponsored search system, which yields a significant improvement in revenue.
In our work, we propose an NMF based unmixing framework which jointly uses a handcrafting regularizer and a learnt regularizer from data.
A mobile app interface usually consists of a set of user interface modules.
In the industrial field, the positron annihilation is not affected by complex environment, and the gamma-ray photon penetration is strong, so the nondestructive detection of industrial parts can be realized.
This paper presents an unsupervised nonlinear spectral unmixing method based on a deep autoencoder network that applies to a generalized linear-mixture/nonlinear fluctuation model, consisting of a linear mixture component and an additive nonlinear mixture component that depends on both endmembers and abundances.
To the best of our knowledge, this dataset is the first publicly available dataset created in a systematic manner with ground-truth for spectral unmixing.
Hypernym identification of open-domain entities is crucial for taxonomy construction as well as many higher-level applications.