Sentence examples for rank representation from inspiring English sources

graph embedding and sparse regression with structure low rank representation.

Nonnegativity constraints allow such a low rank representation to be more interpretable than other low rank approximations such as SVD.

The goal is achieved via the solution of an efficient minimization problem which exploits the low rank representation of the associated trajectory matrices when expressed in terms of appropriately designed dictionaries obtained by leveraging the theory of Singular Spectrum Analysis.

Table 6 Combined ranking Rank Representation space Summed rank 1. ∇I 9 2. ∇I+PHASE 10 3. ∇I+LOGD 12 4. (r)ϕθ+PHASE 12 5. PHASE+|∇I| 16 6.

For subspace segmentation problem, Liu et al. (2010, 2013) use the nuclear norm to find the lowest rank representation of a dataset; in this way, the global structure of the dataset can be well preserved.

In this formulation, each data item is represented by a column of the matrix X, and each column in the matrix H can be seen as a low rank representation of the data item.

We calculate also the wave front set of the most singular low rank representations.

We show that the orthogonal Tucker-type tensor approximation of electron density and Hartree potential of simple molecules leads to low tensor rank representations.

A similar situation was recently explored, leading to the low rank representations (LRR) framework [29] where the objective is to identify a low rank matrix which can accurately represent the source data.

low-rank representation.

The low-rank representation (LRR) was presented recently and demonstrated its effectiveness for robust subspace segmentation.