Graph-based dynamic ensemble pruning for facial expression recognition
Sign Up to like & getrecommendations! Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01435-2
Abstract: Ensemble learning is an effective method to enhance the recognition accuracy of facial expressions. The performance of ensemble learning can be affected by many factors, such as the accuracy of the classifier pool’s component members… read more here.
Keywords: based dynamic; dynamic ensemble; graph based; ensemble pruning ... See more keywords
A Backtracking Ensemble Pruning Based Reconfiguration Method for Time-Triggered Flows in TTEthernet
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3129252
Abstract: In time-triggered ethernet (TTEthernet), when an end system node (ES) permanently fails, the affected TT flows should be reconfigured (known as reconfigured TT flows) with ESs, routings and an updated scheduling table while maintaining the… read more here.
Keywords: time; ensemble pruning; backtracking ensemble; method ... See more keywords
Multiview-Based Random Rotation Ensemble Pruning for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3011777
Abstract: Ensembles of extreme learning machine (ELM) have been widely used for hyperspectral image classification. The previous studies have shown that the goal of ensemble learning is to train accurate but diverse component classifiers to improve… read more here.
Keywords: hyperspectral image; image classification; component classifiers; ensemble pruning ... See more keywords
Ensemble Pruning Based on Objection Maximization With a General Distributed Framework
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2945116
Abstract: Ensemble pruning, selecting a subset of individual learners from an original ensemble, alleviates the deficiencies of ensemble learning on the cost of time and space. Accuracy and diversity serve as two crucial factors, while they… read more here.
Keywords: general distributed; distributed framework; objection maximization; framework ... See more keywords
AcneGrader: An ensemble pruning of the deep learning base models to grade acne
Sign Up to like & getrecommendations! Published in 2022 at "Skin Research and Technology"
DOI: 10.1111/srt.13166
Abstract: Acne is one of the most common skin lesions in adolescents. Some severe or inflammatory acne leads to scars, which may have major impacts on patients’ quality of life or even job prospects. Grading acne… read more here.
Keywords: learning; acne; base models; acnegrader ensemble ... See more keywords