Infrared Small Target Detection Using Local Component Uncertainty Measure With Consistency Assessment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3221088
Abstract: The development of effective detection algorithms under a complex background for small infrared (IR) targets has always been difficult. The existing algorithms have poor resistance to complex backgrounds, easily leading to false alarms. Furthermore, each… read more here.
Keywords: component; uncertainty; uncertainty measure; using local ... See more keywords
Feature Selection Using Zentropy-Based Uncertainty Measure
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2023.3347757
Abstract: Feature selection and entropy theory are two efficacious data analysis tools for investigating uncertainty information processing in artificial intelligence. The fruitful marriage of the two has been an active research topic in knowledge discovery. Currently,… read more here.
Keywords: uncertainty measure; zentropy based; feature selection; uncertainty ... See more keywords
Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression
Sign Up to like & getrecommendations! Published in 2021 at "Molecules"
DOI: 10.3390/molecules26216514
Abstract: Uncertainty measures estimate the reliability of a predictive model. Especially in the field of molecular property prediction as part of drug design, model reliability is crucial. Besides other techniques, Random Forests have a long tradition… read more here.
Keywords: high variance; uncertainty; uncertainty measure; variance leaves ... See more keywords