Title
Basis Expansion Approaches for Regularized Sequential Dictionary Learning Algorithms With Enforced Sparsity for fMRI Data Analysis.
Abstract
Sequential dictionary learning algorithms have been successfully applied to functional magnetic resonance imaging (fMRI) data analysis. fMRI data sets are, however, structured data matrices with the notions of temporal smoothness in the column direction. This prior information, which can be converted into a constraint of smoothness on the learned dictionary atoms, has seldomly been included in cla...
Year
DOI
Venue
2017
10.1109/TMI.2017.2699225
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Dictionaries,Algorithm design and analysis,Approximation algorithms,Sparse matrices,Data analysis,Data models,Learning systems
Approximation algorithm,Singular value decomposition,Data modeling,Data set,K-SVD,Pattern recognition,Computer science,Algorithm,Synthetic data,Artificial intelligence,Data model,Sparse matrix
Journal
Volume
Issue
ISSN
36
9
0278-0062
Citations 
PageRank 
References 
6
0.48
22
Authors
2
Name
Order
Citations
PageRank
Abd-Krim Seghouane119324.99
Asif Iqbal29223.76