Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2952931
Abstract: Dynamics and nonlinearity may exist in the time and batch directions for batch processes, thereby complicating the monitoring of these processes. In this article, we propose a two-dimensional deep correlated representation learning (2D-DCRL) method to… read more here.
Keywords: time; monitoring; batch; dimensional deep ... See more keywords
Cross-Modal Clustering With Deep Correlated Information Bottleneck Method.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3269789
Abstract: Cross-modal clustering (CMC) intends to improve the clustering accuracy (ACC) by exploiting the correlations across modalities. Although recent research has made impressive advances, it remains a challenge to sufficiently capture the correlations across modalities due… read more here.
Keywords: information; modal clustering; cross modal; deep correlated ... See more keywords