Sign Up to like & get
recommendations!
0
Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.072
Abstract: Abstract The low contrast between salient objects and background may result in errors in salient object detection. The low-contrast areas are likely distinguished away from salient objects by saliency information. However, salient objects near the…
read more here.
Keywords:
salient objects;
information;
boundary information;
sub network ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Entropy"
DOI: 10.3390/e24030322
Abstract: Oversampling is the most popular data preprocessing technique. It makes traditional classifiers available for learning from imbalanced data. Through an overall review of oversampling techniques (oversamplers), we find that some of them can be regarded…
read more here.
Keywords:
information;
boundary information;
information based;
samples near ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "Statistica Sinica"
DOI: 10.5705/ss.202015.0249
Abstract: Gaussian process (GP) models are widely used to approximate time consuming deterministic computer codes, which are often models of physical systems based on partial differential equations (PDEs). Limiting or boundary behavior of the PDE solutions…
read more here.
Keywords:
process modeling;
process;
boundary information;
modeling boundary ... See more keywords