activity
20082015
most citedTwo-stage Sampling, Prediction and Adaptive Regression via Correlation Screening (SPARCS)

9 citations · 18 across the 5 of their papers we have counts for

collaborators

7 papers

math.ST2015

Quickest Detection for Changes in Maximal kNN Coherence of Random Matrices

Taposh Banerjee, Hamed Firouzi, Alfred O. Hero

This paper addresses the problem of quickest detection of a change in the maximal coherence between columns of a random matrix based on a sequence of matrix observation…

math.ST2015

Non-parametric Quickest Change Detection for Large Scale Random Matrices

Taposh Banerjee, Hamed Firouzi, Alfred O. Hero

The problem of quickest detection of a change in the distribution of a random matrix based on a sequence of observations having a single unknown change point is conside…

stat.ML2015★ 9 cited

Two-stage Sampling, Prediction and Adaptive Regression via Correlation Screening (SPARCS)

Hamed Firouzi, Alfred Hero, Bala Rajaratnam

This paper proposes a general adaptive procedure for budget-limited predictor design in high dimensions called two-stage Sampling, Prediction and Adaptive Regression via Correlatio…

stat.OT2014

Spectral Correlation Hub Screening of Multivariate Time Series

Hamed Firouzi, Dennis Wei, Alfred O. Hero

This chapter discusses correlation analysis of stationary multivariate Gaussian time series in the spectral or Fourier domain. The goal is to identify the hub time series, i.e., th…

stat.ML2013★ 4 cited

Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension

Hamed Firouzi, Bala Rajaratnam, Alfred Hero

We introduce a new approach to variable selection, called Predictive Correlation Screening, for predictor design. Predictive Correlation Screening (PCS) implements false positive c…

cs.MM2008★ 5 cited

Approximate Sparse Decomposition Based on Smoothed L0-Norm

Hamed Firouzi, Masoud Farivar, Massoud Babaie-Zadeh +1

In this paper, we propose a method to address the problem of source estimation for Sparse Component Analysis (SCA) in the presence of additive noise. Our method is a generalization…