14 citations · 29 across the 5 of their papers we have counts for
4 papers · 1 filter
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…