Automatic outlier sample detection based on regression analysis and repeated ensemble learning
Sign Up to like & getrecommendations! Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.04.015
Abstract: Abstract The fields of chemoinformatics and chemometrics require regression models with high prediction performance. To construct predictive regression models by appropriately detecting outlier samples, a new outlier detection and regression method based on ensemble learning… read more here.
Keywords: detection; outlier sample; regression; automatic outlier ... See more keywords
POSR: Pose-Aligned Outlier Sample Relabeling for Unsupervised Person Reidentification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3546396
Abstract: Unsupervised person reidentification (Re-ID) is crucial since it enables the matching of individuals without labeled data. Existing clustering-based methods directly discard outlier samples. However, these discarded outliers are not noise samples. In contrast, they are… read more here.
Keywords: outlier sample; person reidentification; aligned outlier; pose aligned ... See more keywords