4 papers · 1 filter
Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization
Muhammad Naveed Tabassum, Esa Ollila
This paper proposes a novel method for model selection in linear regression by utilizing the solution path of regularized least-squares (LS) approach (i.e., Lasso). This m…
Sequential adaptive elastic net approach for single-snapshot source localization
Muhammad Naveed Tabassum, Esa Ollila
This paper proposes efficient algorithms for accurate recovery of direction-of-arrival (DoA) of sources from single-snapshot measurements using compressed beamforming (CBF). In CBF…
Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies
Muhammad Naveed Tabassum, Esa Ollila
We propose a modification of linear discriminant analysis, referred to as compressive regularized discriminant analysis (CRDA), for analysis of high-dimensional datasets. CRDA is s…
Pathwise Least Angle Regression and a Significance Test for the Elastic Net
Muhammad Naveed Tabassum, Esa Ollila
Least angle regression (LARS) by Efron et al. (2004) is a novel method for constructing the piece-wise linear path of Lasso solutions. For several years, it remained also as the de…