Deep Constrained Low-Rank Subspace Learning for Multi-View Semi-Supervised Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2923857
Abstract: Semi-supervised classification receives increasing interests because it can predict class labels based on both limited labeled and sufficient unlabeled data. In this letter, we propose a deep constrained low-rank subspace learning (DCLSL) method for multi-view… read more here.
Keywords: low rank; supervised classification; subspace; semi supervised ... See more keywords
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3195123
Abstract: Tissue segmentation is the mainstay of pathological examination, whereas the manual delineation is unduly burdensome. To assist this time-consuming and subjective manual step, researchers have devised methods to automatically segment structures in pathological images. Recently,… read more here.
Keywords: tissue segmentation; segmentation; gaussian network; constrained gaussian ... See more keywords