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
Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2877153
Abstract: Internet of Things applications can greatly benefit from accurate prediction models. The performance of prediction models is highly dependent on the quantity and quality of their training data. In this paper, we investigate the creation… read more here.
Keywords: training data; dynamic ensemble; spatio temporal; exploiting spatio ... See more keywords
Dynamic Ensemble Learning With Multi-View Kernel Collaborative Subspace Clustering for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3158761
Abstract: Recently, a series of collaborative representation (CR) methods have attracted much attention for hyperspectral images classification. In this article, two CR-based dynamic ensemble selection (DES) methods using multiview kernel collaborative subspace clustering (MVKCSC) and random… read more here.
Keywords: dynamic ensemble; collaborative subspace; subspace clustering; method ... See more keywords
Kernel-Based Dynamic Ensemble Technique for Remaining Useful Life Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3137909
Abstract: Prognostic and health management (PHM) has been widely used in manufacturing system, particularly, for predictive maintenance (PdM). The purpose of PdM is to predict whether equipment or parts is in health. Typically, the statistical exponential… read more here.
Keywords: remaining useful; based dynamic; useful life; prediction ... See more keywords