Spring 2026 Electrical Engineering E6876 section V01

Sparse and Low-Dimensional Models for Hi

SPARSE MODELS FOR HI-D DA

Call Number 19645
Points 3
Grading Mode Standard
Approvals Required None
Instructor John Wright
Type LECTURE
Method of Instruction On-Line Only
Course Description

Overview of theory, computation and applications for sparse and low-dimensional data modeling. Recoverability of sparse and low-rank models. Optimization methods for low-dim data modeling. Applications to imaging, neuroscience, communications, web data.

Web Site Vergil
Department Video Network
Enrollment 1 student (99 max) as of 8:06PM Thursday, January 8, 2026
Subject Electrical Engineering
Number E6876
Section V01
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Fee $395 CVN Course Fee
Note VIDEO NETWORK STUDENTS ONLY
Section key 20261ELEN6876EV01