Farhad Pourkamali-Anaraki
Farhad Pourkamali-Anaraki
Assistant Professor, University of Colorado Denver
Verified email at - Homepage
Cited by
Cited by
Support vector machine based reliability analysis of concrete dams
MA Hariri-Ardebili, F Pourkamali-Anaraki
Soil Dynamics and Earthquake Engineering 104, 276-295, 2018
Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means
F Pourkamali-Anaraki, S Becker
IEEE Transactions on Information Theory, 2017
Memory and computation efficient PCA via very sparse random projections
FP Anaraki, S Hughes
International Conference on Machine Learning, 1341-1349, 2014
Simplified reliability analysis of multi hazard risk in gravity dams via machine learning techniques
MA Hariri-Ardebili, F Pourkamali-Anaraki
Archives of civil and mechanical engineering 18, 592-610, 2018
Efficient solvers for sparse subspace clustering
F Pourkamali-Anaraki, J Folberth, S Becker
Signal Processing 172, 107548, 2020
Compressive k-svd
FP Anaraki, SM Hughes
2013 IEEE International Conference on Acoustics, Speech and Signalá…, 2013
Randomized clustered nystrom for large-scale kernel machines
F Pourkamali-Anaraki, S Becker, M Wakin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Improved fixed-rank Nystr÷m approximation via QR decomposition: Practical and theoretical aspects
F Pourkamali-Anaraki, S Becker
Neurocomputing 363, 261-272, 2019
An empirical evaluation of the t-sne algorithm for data visualization in structural engineering
P Hajibabaee, F Pourkamali-Anaraki, MA Hariri-Ardebili
2021 20th IEEE International Conference on Machine Learning and Applicationsá…, 2021
Estimation of the sample covariance matrix from compressive measurements
F Pourkamali‐Anaraki
IET Signal Processing 10 (9), 1089-1095, 2016
Kernel matrix approximation on class-imbalanced data with an application to scientific simulation
P Hajibabaee, F Pourkamali-Anaraki, MA Hariri-Ardebili
IEEE Access 9, 83579-83591, 2021
Efficient dictionary learning via very sparse random projections
F Pourkamali-Anaraki, S Becker, SM Hughes
2015 International Conference on Sampling Theory and Applications (SampTAá…, 2015
A unified nmpc scheme for mavs navigation with 3d collision avoidance under position uncertainty
SS Mansouri, C Kanellakis, B Lindqvist, F Pourkamali-Anaraki, ...
IEEE Robotics and Automation Letters 5 (4), 5740-5747, 2020
Instrumented health monitoring of an earth dam
SM Seyed-Kolbadi, MA Hariri-Ardebili, M Mirtaheri, F Pourkamali-Anaraki
Infrastructures 5 (3), 26, 2020
Kernel Compressive Sensing
FP Anaraki, SM Hughes
Image Processing (ICIP), 2013 20th IEEE International Conference on, 494-498, 2013
Efficient Recovery of Principal Components from Compressive Measurements with Application to Gaussian Mixture Model Estimation
F Pourkamali Anaraki, SM Hughes
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE Internationalá…, 2014
Kernel compressive sensing.
F Pourkamali-Anaraki, SM Hughes
ICIP, 494-498, 2013
Matrix completion for cost reduction in finite element simulations under hybrid uncertainties
MA Hariri-Ardebili, F Pourkamali-Anaraki
Applied Mathematical Modelling 69, 164-180, 2019
A randomized approach to efficient kernel clustering
F Pourkamali-Anaraki, S Becker
Signal and Information Processing (GlobalSIP), 2016 IEEE Global Conferenceá…, 2016
Scalable spectral clustering with Nystr÷m approximation: Practical and theoretical aspects
F Pourkamali-Anaraki
IEEE Open Journal of Signal Processing 1, 242-256, 2020
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