A Group Norm Regularized Factorization Model for Subspace Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3000816
Abstract: Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace. Low-rank representation (LRR) is a classic spectral-type method for… read more here.
Keywords: model; group norm; subspace segmentation; segmentation ... See more keywords
Ensemble Subspace Segmentation Under Blockwise Constraints
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2017.2678443
Abstract: The graph-based subspace segmentation technique has garnered a lot of attention in the visual data representation problem. In general, data (e.g., tracks of moving objects) are drawn from multiple linear subspaces. Thus, how to build… read more here.
Keywords: subspace segmentation; segmentation blockwise; segmentation; ensemble subspace ... See more keywords