97 citations · 153 across the 5 of their papers we have counts for
5 papers
Dynamic Subspace Estimation with Grassmannian Geodesics
Cameron J. Blocker, Haroon Raja, Jeffrey A. Fessler +1
Dynamic subspace estimation, or subspace tracking, is a fundamental problem in statistical signal processing and machine learning. This paper considers a geodesic model for time-va…
Scaling-up Distributed Processing of Data Streams for Machine Learning
Matthew Nokleby, Haroon Raja, Waheed U. Bajwa
Emerging applications of machine learning in numerous areas involve continuous gathering of and learning from streams of data. Real-time incorporation of streaming data into the le…
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis
Haroon Raja, Waheed U. Bajwa
This paper considers the problem of estimating the principal eigenvector of a covariance matrix from independent and identically distributed data samples in streaming settings. The…
Tensor Regression Using Low-rank and Sparse Tucker Decompositions
Talal Ahmed, Haroon Raja, Waheed U. Bajwa
This paper studies a tensor-structured linear regression model with a scalar response variable and tensor-structured predictors, such that the regression parameters form a tensor o…
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data
Haroon Raja, Waheed U. Bajwa
This paper studies the problem of data-adaptive representations for big, distributed data. It is assumed that a number of geographically-distributed, interconnected sites have mass…