Skip to main navigation
Skip to search
Skip to main content
Istanbul Technical University Home
English
Türkçe
Home
Profiles
Research units
Projects
Research output
Prizes
Student theses
Search by expertise, name or affiliation
K-SVD meets transform learning: Transform K-SVD
Ender M. Eksioglu
, Ozden Bayir
Department of Electronics and Communication Engineering
Istanbul Technical University
Research output
:
Contribution to journal
›
Article
›
peer-review
45
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'K-SVD meets transform learning: Transform K-SVD'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Learning Algorithm
100%
Computational Complexity
50%
Learning Approach
50%
Learning Framework
50%
Sparsity
50%
Sparse Representation
50%
Dictionary Learning
50%
Keyphrases
Transformative Learning
100%
K-singular Value Decomposition (K-SVD)
100%
Learning Algorithm
20%
Analysis Operator Learning
20%
Learning Approaches
10%
Computational Complexity
10%
Learning Framework
10%
Analysis Sparsity
10%
Sparse Coding
10%
Sparsifying Transform Learning
10%
Sparsity Model
10%
Analysis Sparse Representation
10%
Analysis Dictionary Learning
10%
Novel Transform
10%
Operator Learning
10%
Transform Operator
10%
Mathematics
Thresholding
100%