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,
{L}earning {E}fficient {D}ata {R}epresentations with {O}rthogonal {S}parse {C}oding, IEEE Transactions on Computational Imaging , vol. 2, no. 3, pp. 177--189, 09 2016.
{L}earning {E}fficient {D}ata {R}epresentations with {O}rthogonal {S}parse {C}oding, 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,
{L}earning {O}rthogonal {S}parse {R}epresentations by {U}sing {G}eodesic {F}low {O}ptimization, in IJCNN 2015 Conference Proceedings , 2015. pp. 15540:1--8.
{L}earning {O}rthogonal {S}parse {R}epresentations by {U}sing {G}eodesic {F}low {O}ptimization, 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,
{L}earning {O}rthogonal {B}ases for k-{S}parse {R}epresentations, in Workshop New Challenges in Neural Computation 2013 , Barbara Hammer and Thomas Martinetz and Thomas Villmann, Eds. 2013. pp. 119--120.
{L}earning {O}rthogonal {B}ases for k-{S}parse {R}epresentations, 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 {M}ultivariate {A}pproach to {E}stimate {C}omplexity of {F}{MRI} {T}ime {S}eries, 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 W{\l}odzis{\l}aw Duch and P{\'{e}}ter {\'{E}}rdi and Francesco Masulli and Günter Palm, Eds. Springer, 2012. pp. 540--547.
A {M}ultivariate {A}pproach to {E}stimate {C}omplexity of {F}{MRI} {T}ime {S}eries, 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 W{\l}odzis{\l}aw Duch and P{\'{e}}ter {\'{E}}rdi 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}
}
|
