Sparse dictionary learning is a representation learning method which aims at finding a sparse representation of the input data (also known as sparseâ€¦Â (More)

Semantic Scholar uses AI to extract papers important to this topic.

2016

2016

- F. L. Li, Sanyuan Zhang
- 2016 Chinese Control and Decision Conferenceâ€¦
- 2016

This paper presents a novel double sparse dictionary learning method for the image upscaling which aim is to recover a highâ€¦Â (More)

Is this relevant?

2016

2016

- Charles J. Garfinkle, Christopher J. Hillar
- ArXiv
- 2016

Sparse coding or sparse dictionary learning methods have exposed underlying sparse structure in many kinds of natural data. Hereâ€¦Â (More)

Is this relevant?

2015

2015

- Muhammad Usman Khalid, Adnan Shah, Abd-Krim Seghouane
- 2015 37th Annual International Conference of theâ€¦
- 2015

In this paper, the effect of temporal autocorrelations in functional magnetic resonance imaging (fMRI) data on sparse dictionaryâ€¦Â (More)

Is this relevant?

2014

2014

- Matthias Seibert, Martin Kleinsteuber, RÃ©mi Gribonval, Rodolphe Jenatton, Francis R. Bach
- 2014 IEEE Workshop on Statistical Signalâ€¦
- 2014

In the synthesis model signals are represented as a sparse combinations of atoms from a dictionary. Dictionary learning describesâ€¦Â (More)

Is this relevant?

2014

2014

- Xiaowu Chen, Dongqing Zou, Jianwei Li, Xiaochun Cao, Qinping Zhao, Hao Zhang
- 2014 IEEE Conference on Computer Vision andâ€¦
- 2014

We introduce a method of sparse dictionary learning for edit propagation of high-resolution images or video. Previous approachesâ€¦Â (More)

Is this relevant?

2014

2014

- Sung-Hsien Hsieh, Chun-Shien Lu, Soo-Chang Pei
- 2014 IEEE Global Conference on Signal andâ€¦
- 2014

The existing dictionary learning methods mostly focus on ID signals, leading to the disadvantage of incurring overload of memoryâ€¦Â (More)

Is this relevant?

2014

2014

- Jarvis D. Haupt, Nikos D. Sidiropoulos, Georgios B. Giannakis
- 2014 IEEE International Conference on Acousticsâ€¦
- 2014

This work examines a sparse dictionary learning task - that of fitting a collection of data points, arranged as columns of aâ€¦Â (More)

Is this relevant?

2014

2014

- Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham
- IEEE Journal of Biomedical and Health Informatics
- 2014

Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers forâ€¦Â (More)

Is this relevant?

2011

2011

- Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang
- CVPR 2011
- 2011

Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from anâ€¦Â (More)

Is this relevant?

2010

2010

- Kangjoo Lee, Jong Chul Ye
- 2010 IEEE International Symposium on Biomedicalâ€¦
- 2010

Statistical parametric mapping (SPM) of functional magnetic resonance imaging (fMRI) uses a canonical hemodynamic responseâ€¦Â (More)

Is this relevant?