Publications

Preprints

Efficient Solvers for Sparse Subspace Clustering

F. Pourkamali-Anaraki, J. Folberth, and S. Becker

arXiv version

Journal Articles

Improved Fixed-Rank Nystrom Approximation via QR Decomposition: Practical and Theoretical Aspects

F. Pourkamali-Anaraki and S. Becker

Neurocomputing, vol. 363, pages 261-272, 2019

Published version


Matrix Completion for Cost Reduction in Finite Element Simulations Under Hybrid Uncertainties

M. A. Hariri-Ardebili and F. Pourkamali-Anaraki

Applied Mathematical Modeling, vol. 69, pages 164-180, 2019

Published version


Support Vector Machine Based Reliability Analysis of Concrete Dams

M. A. Hariri-Ardebili and F. Pourkamali-Anaraki

Soil Dynamics and Earthquake Engineering, vol. 104, pages 276-295, 2018

Published version


Simplified Reliability Analysis of Multi Hazard Risk in Gravity Dams via Machine Learning Techniques

M. A. Hariri-Ardebili and F. Pourkamali-Anaraki

Archives of Civil and Mechanical Engineering, vol. 18, no. 2, pages 592-610, 2018

Published version


Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means

F. Pourkamali-Anaraki and S. Becker

IEEE Transactions on Information Theory, vol. 63, no. 5, pages 2954–2974, 2017

Published version


Estimation of the Sample Covariance Matrix from Compressive Measurements

F. Pourkamali-Anaraki

IET Signal Processing, vol. 10, no. 9, pages 1089-1095, 2016

Published version, arXiv version

Conference Papers

Large-Scale Sparse Subspace Clustering Using Landmarks

F. Pourkamali-Anaraki

IEEE Machine Learning for Signal Processing (MLSP) Workshop, 2019 (forthcoming)

arXiv version


Application of Response Surface Meta-model in Probabilistic Analysis of Concrete Dams

M. A. Hariri-Ardebili, M. Noori, F. Pourkamali-Anaraki, and S. Kolbadi

United States Society on Dams (USSD) Annual Conference & Exhibition, 2019


Randomized Clustered Nystrom for Large-Scale Kernel Machines

F. Pourkamali-Anaraki, S. Becker, and M. Wakin

Proceedings of the 32nd AAAI Conference on Artificial Intelligence, pages 3960-3967, 2018

Published version


A Randomized Approach to Efficient Kernel Clustering

F. Pourkamali-Anaraki and S. Becker

IEEE Global Conference on Signal and Information Processing (GlobalSIP), pages 207-211, 2016

Published version


Efficient Dictionary Learning via Very Sparse Random Projections

F. Pourkamali-Anaraki, S. Becker, and S. Hughes

Sampling Theory and Applications (SampTA), pages 478-482, 2015

Published version


Memory and Computation Efficient PCA via Very Sparse Random Projections

F. Pourkamali-Anaraki and S. Hughes

Proceedings of the 31st International Conference on Machine Learning (ICML), pages 1341-1349, 2014

Published version


Efficient Recovery of Principal Components from Compressive Measurements with Application to Gaussian Mixture Model Estimation

F. Pourkamali-Anaraki and S. Hughes

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 2332-2336, 2014

Published version


Kernel Compressive Sensing

F. Pourkamali-Anaraki and S. Hughes

IEEE International Conference on Image Processing (ICIP), pages 494-498, 2013

Published version


Compressive K-SVD

F. Pourkamali-Anaraki and S. Hughes

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 5469–5473, 2013

Published version