Filter-based unsupervised feature selection using Hilbert–Schmidt independence criterion
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-0869-7
Abstract: Feature selection is a fundamental preprocess before performing actual learning; especially in unsupervised manner where the data are unlabeled. Essentially, when there are too many features in the problem, dimensionality reduction through discarding weak features… read more here.
Keywords: unsupervised feature; feature selection; schmidt independence; feature ... See more keywords
Sensitivity Analysis for ReaxFF Reparametrization Using the Hilbert-Schmidt Independence Criterion.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c01320
Abstract: We apply a global sensitivity method, the Hilbert-Schmidt independence criterion (HSIC), to the reparametrization of a Zn/S/H ReaxFF force field to identify the most appropriate parameters for reparametrization. Parameter selection remains a challenge in this… read more here.
Keywords: hilbert schmidt; schmidt independence; independence criterion; sensitivity ... See more keywords
Learning Spatial Regularization Correlation Filters With the Hilbert-Schmidt Independence Criterion in RKHS for UAV Tracking
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3265106
Abstract: Unmanned aerial vehicle (UAV) object tracking has been widely used in military and civilian tasks and is very challenging due to factors such as aerial view, low resolution (LR), background clutter (BC), and small scale.… read more here.
Keywords: rkhs uav; schmidt independence; regularization; independence criterion ... See more keywords