37 citations · 78 across the 7 of their papers we have counts for
4 papers · 1 filter
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction
Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec
Scalable kernel methods, including kernel ridge regression, often rely on low-rank matrix approximations using the Nystrom method, which involves selecting landmark points from lar…
Uncertainty Quantification of Structural Systems with Subset of Data
Mohammad Amin Hariri-Ardebili, Farhad Pourkamali-Anaraki, Siamak Sattar
Quantification of the impact of uncertainty in material properties as well as the input ground motion on structural responses is an important step in implementing a performance-bas…
A Unified NMPC Scheme for MAVs Navigation with 3D Collision Avoidance under Position Uncertainty
Sina Sharif Mansouri, Christoforos Kanellakis, Bjorn Lindqvist +4
This article proposes a novel Nonlinear Model Predictive Control (NMPC) framework for Micro Aerial Vehicle (MAV) autonomous navigation in constrained environments. The introduced f…
Scalable Spectral Clustering with Nystrom Approximation: Practical and Theoretical Aspects
Farhad Pourkamali-Anaraki
Spectral clustering techniques are valuable tools in signal processing and machine learning for partitioning complex data sets. The effectiveness of spectral clustering stems from…