MA7b.3

Stratified Non-Negative Tensor Factorization

Alexander Sietsema, Zerrin Vural, James Chapman, Yotam Yaniv, Deanna Needell, University of California, Los Angeles, United States
Session:
MA7b: Tensor Models for Signal Processing and Machine Learning Lecture
Track:
Array Processing and Multisensor Systems
Location:
Oak Shelter
Presentation Time:
Mon, 28 Oct, 11:05 - 11:30 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MA7b
MA7b.1: Three-Dimensional Signal Processing: A New Approach in Dynamical Sampling via Tensor Products
Yisen Wang, Michigan State University, United States; HanQin Cai, University of Central Florida, United States; Longxiu Huang, Michigan State University, United States
MA7b.2: Hyperspectral Band Selection based on Generalized 3DTV and Tensor CUR Decomposition
Katherine Henneberger, Jing Qin, University of Kentucky, United States
MA7b.3: Stratified Non-Negative Tensor Factorization
Alexander Sietsema, Zerrin Vural, James Chapman, Yotam Yaniv, Deanna Needell, University of California, Los Angeles, United States
MA7b.4: Comparing Unrolled Alternating GD and Minimization (altGDmin) with basic altGDmin for Low Rank Dynamic MRI
Silpa Babu, Namrata Vaswani, IOWA STATE UNIVERSITY, United States
Contacts