Random Projections for Classification: A Recovery Approach

DOI10.1109/TIT.2014.2359204zbMath1360.94105MaRDI QIDQ2983374

Tianbao Yang, Shenghuo Zhu, Rong Jin, Li-jun Zhang, Mehrdad Mahdavi

Publication date: 16 May 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Information theory (general) (94A15)

Related Items (5)

Regularized Linear Inversion with Randomized Singular Value Decomposition ⋮ Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection ⋮ Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach ⋮ High-dimensional model recovery from random sketched data by exploring intrinsic sparsity ⋮ ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching

This page was built for publication: Random Projections for Classification: A Recovery Approach