Recently, some visually secure image encryption schemes using compressive sensing (CS)
have been developed to protect images with visual security, where the images are first …

In this paper, a fast algorithm for overcomplete sparse decomposition, called SL0, is
proposed. The algorithm is essentially a method for obtaining sparse solutions of …

An improved sparse subspace clustering (ISSC) method is proposed to select an
appropriate band subset for hyperspectral imagery (HSI) classification. The ISSC assumes …

Decentralized optimization algorithms have received much attention due to the recent
advances in network information processing. However, conventional decentralized …

In this paper, a novel image encryption algorithm based on the fractional-order chaotic
system and compression sensing algorithm is proposed. Firstly, the dynamical …

In this paper, a new two-dimensional discrete hyperchaotic system is proposed. Verification
using the phase-track map, bifurcation map and Lyapunov exponent of the chaotic system …

Scan matching, an approach to recover the relative position and orientation of two laser
scans, is a very important technique for indoor positioning and indoor modeling. The …

l 0 norm based algorithms have numerous potential applications where a sparse signal is
recovered from a small number of measurements. The direct l 0 norm optimization problem …

We present a Bayesian approach for sparse component analysis (SCA) in the noisy case.
The algorithm is essentially a method for obtaining sufficiently sparse solutions of …

This work is concerned with discovering the governing partial differential equation (PDE) of
a physical system. Existing methods have demonstrated the PDE identification from finite …