14 citations · 29 across the 5 of their papers we have counts for
8 papers
Quadratic Surface Support Vector Machine with L1 Norm Regularization
Ahmad Mousavi, Zheming Gao, Lanshan Han +1
We propose norm regularized quadratic surface support vector machine models for binary classification in supervised learning. We establish their desired theoretical proper…
A Survey on Compressive Sensing: Classical Results and Recent Advancements
Ahmad Mousavi, Mehdi Rezaee, Ramin Ayanzadeh
Recovering sparse signals from linear measurements has demonstrated outstanding utility in a vast variety of real-world applications. Compressive sensing is the topic that studies…
Exact Support and Vector Recovery of Constrained Sparse Vectors via Constrained Matching Pursuit
Jinglai Shen, Seyedahmad Mousavi
Matching pursuit, especially its orthogonal version (OMP) and variations, is a greedy algorithm widely used in signal processing, compressed sensing, and sparse modeling. Inspired…
Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty
Ramin Ayanzadeh, Seyedahmad Mousavi, Milton Halem +1
Compressive sensing is a novel approach that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling rate and outperforms traditional sign…
The Hyper-Zagreb Index of Trees and Unicyclic Graphs
Hassan Rezapour, Ramin Nasiri, Seyedahmad Mousavi
Applications in chemistry motivated mathematicians to define different topological indices for different types of graphs. The Hyper-Zagreb index (HM) is an important tool as it int…
Solution Uniqueness of Convex Piecewise Affine Functions Based Optimization with Applications to Constrained Minimization
Seyedahmad Mousavi, Jinglai Shen
In this paper, we study the solution uniqueness of an individual feasible vector of a class of convex optimization problems involving convex piecewise affine functions and subject…
Least Sparsity of -norm based Optimization Problems with
Jinglai Shen, Seyedahmad Mousavi
Motivated by -optimization arising from sparse optimization, high dimensional data analytics and statistics, this paper studies sparse properties of a wide range of -nor…
The Generalized Classical Time-Space
Mehdi Nadjafikhah, Seyed-Mehdi Mousavi
The newest model for space-time is based on sub-Riemannian geometry. In this paper, we use a combination of Lorentzian and sub-Riemannian geometry, the suggest a new model which li…