Henry Schütze, PhD
Institut für Neuro- und Bioinformatik
Ratzeburger Allee 160
23562 Lübeck
| Email: | inb(at)inb.uni-luebeck.de |
| Phone: | +49 451 3101 5501 |
| Fax: | +49 451 3101 5504 |
MATLAB toolbox orthogonal_dictionary_learning
The toolbox orthogonal_dictionary_learning provides a MATLAB implementation of several orthogonal dictionary learning methods for sparse coding.
Publikationen
2016
Henry
Schütze,
Erhardt
Barth, and
Thomas
Martinetz,
Learning Efficient Data Representations with Orthogonal Sparse Coding, IEEE Transactions on Computational Imaging , vol. 2, no. 3, pp. 177--189, 09 2016.
Learning Efficient Data Representations with Orthogonal Sparse Coding, IEEE Transactions on Computational Imaging , vol. 2, no. 3, pp. 177--189, 09 2016.
| DOI: | 10.1109/TCI.2016.2557065 |
| Datei: |  ScBaMa16.pdf
|
| Bibtex: |  @article{ScBaMa16,
author = {Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas},
title = {{L}earning {E}fficient {D}ata {R}epresentations with {O}rthogonal {S}parse {C}oding},
journal = {IEEE Transactions on Computational Imaging},
volume = {2},
number = {3},
month = {09},
pages = {177--189},
ISSN = {2333-9403},
year = {2016},
doi = {10.1109/TCI.2016.2557065},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa16.pdf}
}
|
2015
Henry
Schütze,
Erhardt
Barth, and
Thomas
Martinetz,
Learning Orthogonal Sparse Representations by Using Geodesic Flow Optimization, in IJCNN 2015 Conference Proceedings , 2015. pp. 15540:1--8.
Learning Orthogonal Sparse Representations by Using Geodesic Flow Optimization, in IJCNN 2015 Conference Proceedings , 2015. pp. 15540:1--8.
| Datei: | ScBaMa15.pdf
|
| Bibtex: | @inproceedings{ScBaMa15,
author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas},
title={{L}earning {O}rthogonal {S}parse {R}epresentations by {U}sing {G}eodesic {F}low {O}ptimization},
booktitle = {IJCNN 2015 Conference Proceedings},
series = {The International Joint Conference on Neural Networks},
year = {2015},
pages = {15540:1--8},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa15.pdf}
}
|
2014
Henry
Schütze,
Erhardt
Barth, and
Thomas
Martinetz,
An adaptive hierarchical sensing scheme for sparse signals, in Human Vision and Electronic Imaging XIX , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. 2014. pp. 15:1--8.
An adaptive hierarchical sensing scheme for sparse signals, in Human Vision and Electronic Imaging XIX , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder, Eds. 2014. pp. 15:1--8.
| Datei: | ScBaMa14.pdf
|
| Bibtex: | @inproceedings{ScBaMa14,
author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas},
title={An adaptive hierarchical sensing scheme for sparse signals},
booktitle = {Human Vision and Electronic Imaging XIX},
series = {Proc. of SPIE Electronic Imaging},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder},
volume = {9014},
pages = {15:1--8},
year = {2014},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa14.pdf}
}
|
2013
Henry
Schütze,
Erhardt
Barth, and
Thomas
Martinetz,
Learning Orthogonal Bases for k-Sparse Representations, in Workshop New Challenges in Neural Computation 2013 , Barbara Hammer and Thomas Martinetz and Thomas Villmann, Eds. 2013. pp. 119--120.
Learning Orthogonal Bases for k-Sparse Representations, in Workshop New Challenges in Neural Computation 2013 , Barbara Hammer and Thomas Martinetz and Thomas Villmann, Eds. 2013. pp. 119--120.
| Datei: | ScBaMa13.pdf
|
| Bibtex: | @inproceedings{ScBaMa13,
author={Sch{\"u}tze, Henry and Barth, Erhardt and Martinetz, Thomas},
title = {{L}earning {O}rthogonal {B}ases for k-{S}parse {R}epresentations},
booktitle = {Workshop New Challenges in Neural Computation 2013},
editor = {Barbara Hammer and Thomas Martinetz and Thomas Villmann},
series ={Machine Learning Reports},
volume = {02},
year = {2013},
pages = {119--120},
note = {Short Paper},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScBaMa13.pdf}
}
|
2012
Henry
Schütze,
Thomas
Martinetz,
Silke
Anders, and
Amir Madany
Mamlouk,
A Multivariate Approach to Estimate Complexity of FMRI Time Series, in Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II , Alessandro E.P. Villa and Włodzisław Duch and Péter Érdi and Francesco Masulli and Günter Palm, Eds. Springer, 2012. pp. 540--547.
A Multivariate Approach to Estimate Complexity of FMRI Time Series, in Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II , Alessandro E.P. Villa and Włodzisław Duch and Péter Érdi and Francesco Masulli and Günter Palm, Eds. Springer, 2012. pp. 540--547.
| Datei: | ScMaAnMa12.pdf
|
| Bibtex: | @inproceedings{ScMaAnMa12,
author = {Henry Sch{\"u}tze and Thomas Martinetz and Silke Anders and Amir Madany Mamlouk},
title = {A {M}ultivariate {A}pproach to {E}stimate {C}omplexity of {F}{MRI} {T}ime {S}eries},
editor = {Alessandro E.P. Villa and W{\l}odzis{\l}aw Duch and P{\'{e}}ter {\'{E}}rdi and Francesco Masulli and G{\"u}nter Palm},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II},
year = {2012},
pages = {540--547},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {7553},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScMaAnMa12.pdf}
}
|
