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Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation

2020 IEEE International Conference on Multimedia and Expo (ICME), 2020
As an effective descriptor, Symmetric Positive Definite (SPD) matrix is widely used in several areas such as image clustering. Recently, researchers proposed some effective methods based on low rank theory for SPD data clustering with nonlinear metric.
Xinglin Piao   +7 more
openaire   +1 more source

Positive Semidefinite Hankel Structured Low Rank Approximation using Vandermonde Decomposition

2019 Fifth Indian Control Conference (ICC), 2019
In this paper, we propose a decomposition based method for solving the positive semidefinite Hankel structured low rank approximation (PHSLRA) of a given matrix. This problem is formulated as an unconstrained optimization problem using the Vandermonde decomposition of the positive semidefinite Hankel matrix.
Suman Rakshit, Swanand R. Khare
openaire   +1 more source

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