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} } |