Grassmann angles between real or complex subspaces
ALG Mandolesi - arxiv preprint arxiv:1910.00147, 2019 - arxiv.org
The Grassmann angle improves upon similar angles between subspaces that measure
volume contraction in orthogonal projections. It works in real or complex spaces, with …
volume contraction in orthogonal projections. It works in real or complex spaces, with …
Grassmann angle formulas and identities
ALG Mandolesi - arxiv preprint arxiv:2005.12700, 2020 - arxiv.org
Grassmann angles improve upon similar concepts of angle between subspaces that
measure volume contraction in orthogonal projections, working for real or complex …
measure volume contraction in orthogonal projections, working for real or complex …
Compressed subspace learning based on canonical angle preserving property
Union of Subspaces (UoS) is a popular model to describe the underlying low-dimensional
structure of data. The fine details of UoS structure can be described in terms of canonical …
structure of data. The fine details of UoS structure can be described in terms of canonical …
Dimensionality-reduced Secure Outlier Detection on Union of Subspaces
K Liu, Y Jiao, Y **, X **ang… - 2021 IEEE 5th International …, 2021 - ieeexplore.ieee.org
In the problem of outlier detection (OD) on a union of subspaces (UoS), inliers are assumed
to lie around a union of low-dimensional subspaces, and the goal is to detect the outliers …
to lie around a union of low-dimensional subspaces, and the goal is to detect the outliers …
An Easy-to-Implement Framework of Fast Subspace Clustering For Big Data Sets
L Meng, Y Jiao, Y Gu - ICASSP 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
Subspace clustering has attracted much attention due to its successful application on many
data mining and computer vision tasks. However, most subspace clustering algorithms suffer …
data mining and computer vision tasks. However, most subspace clustering algorithms suffer …