Technical Program

Paper Detail

Paper:MLSP-P2.11
Session:Source Separation and Subspace Methods
Location:Poster Area C
Session Time:Tuesday, May 28, 10:50 - 12:50
Presentation Time:Tuesday, May 28, 10:50 - 12:50
Presentation: Poster
Topic: Machine Learning for Signal Processing: Learning theory and algorithms (MLR-LEAR)
Paper Title: THE GENERALIZED LASSO IS REDUCIBLE TO A SUBSPACE CONSTRAINED LASSO
Authors: Hao Xu, David J. Eis, Peter J. Ramadge, Princeton University, United States