Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Executive Committee 
 Postdocs 
 Visitors 
 Students 
 Research 
 Publications 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 P/T Colloquia 
 Archive 
 Ulam Scholar 
 
 Postdoc Nominations 
 Student Requests 
 Student Program 
 Visitor Requests 
 Description 
 Past Visitors 
 Services 
 General 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Thursday, September 01, 2016
2:20 PM - 2:30 PM
CNLS Conference Room (TA-3, Bldg 1690)

Student Seminar

Convolutional Dictionary Learning for Large-Scale, Distributed or Dynamic Datas

Jialin Liu
University of California, Los Angeles

Convolutional dictionary learning is a significant approach to train dictionaries for inverse problems in image processing. However, for large traing sets, state-of-the-art solvers are not efficient since their large time and memory costs. To fix this problem, we propose several algorithms for convolutional dictionary learning in the framework of distributed computing and online computing, which are efficient approaches for large-scale data sets. Simulation results of these methods are given and compared.

Host: Chris Neale