Publications

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. Efficient Solvers for Sparse Subspace Clustering. 2018.

Preprint

. Randomized Clustered Nystrom for Large-Scale Kernel Machines. AAAI Conference on Artificial Intelligence, 2018.

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. Support Vector Machine Based Reliability Analysis of Concrete Dams. Soil Dynamics and Earthquake Engineering, 2018.

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. Simplified Reliability Analysis of Multi Hazard Risk in Gravity Dams via Machine Learning Techniques. Archives of Civil and Mechanical Engineering, 2018.

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. Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means. IEEE Transactions on Information Theory, 2017.

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. A Randomized Approach to Efficient Kernel Clustering. IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016.

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. Estimation of the Sample Covariance Matrix From Compressive Measurements. IET Signal Processing, 2016.

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. Efficient Dictionary Learning via Very Sparse Random Projections. Sampling Theory and Applications (SampTA), 2015.

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. Efficient Recovery of Principal Components from Compressive Measurements with Application to Gaussian Mixture Model Estimation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.

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. Memory and Computation Efficient PCA via Very Sparse Random Projections. International Conference on Machine Learning (ICML), 2014.

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. Kernel Compressive Sensing. IEEE International Conference on Image Processing (ICIP), 2013.

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. Compressive K-SVD. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.

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