Lecture Notes in Computer Science 5629CERIST
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von JC Príncipe · Zitiert von: 19 — Kai Labusch, Erhardt Barth, and Thomas Martinetz. Career-Path Analysis Using Optimal Matching and Self-Organizing. Maps .
Proceedings of COMPSTAT'2010: 19th International Conference ...google.com
books.google.com
Bag of Pursuits and Neural Gas for Improved Sparse Coding Kai Labusch, Erhardt Barth, and Thomas Martinetz University of Lübeck Institute for Neuro- and ...
Advances in Self-Organizing Maps: 7th International Workshop, WSOM...
books.google.de
Kai Labusch, Erhardt Barth, and Thomas Martinetz University of Liibeck, Institute for Neuro- and Bioinformatics Ratzeburger Alle Liibeck, Germany ...
Artificial Neural Networks - ICANN 2008: 18th International ...books.google.com › books
books.google.de
788 Kai Labusch, Erhardt Barth, and Thomas Martinetz Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time ...
Learning Data Representations with Sparse Coding Neural ...European Symposium on Artificial Neural Networks
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von K Labusch · Zitiert von: 23 — Kai Labusch and Erhardt Barth and Thomas Martinetz. University of Lübeck - Institute for Neuro- and Bioinformatics. Ratzeburger Alle Lübeck
mostly unsupervised image recognition with strong neuronsALGLIB
www.alglib.net
— "Multi-column Deep Neural Networks for. Image Classification". [3] Kai Labusch, Erhardt Barth, Thomas Martinetz (2008). "Simple Method for High- ...
Bag of Pursuits and Neural Gas for Improved Sparse Codin
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Bag of Pursuits and Neural Gas for Improved Sparse Coding Kai Labusch, Erhardt Barth, and Thomas Martinetz University of L¨ubeck Institute for Neuro- and Bioin…
Kai Labusch, Erhardt Barth and Thomas Martinetz - Learning Data...
de.scribd.com
Learning Data Representations with Sparse Coding Neural Gas Kai Labusch and Erhardt Barth and Thomas Martinetz University of L¨beck - Institute for Neuro- ...
Lernen effizienter Abtastung für das aktive Sehen - DFG - GEPRISDeutsche Forschungsgemeinschaft
gepris.dfg.de
Jens Hocke, Kai Labusch, Erhardt Barth, and Thomas Martinetz (Siehe online unter https://dx.doi.org s ); Learning orthogonal bases ...
Kai Labusch - dblpdblp.org › Persons
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· Kai Labusch, Erhardt Barth, Thomas Martinetz: Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent. IEEE J. Sel. Top.
Institut für Neuro- und Bioinformatik der Universität zu Lübeck -...
webmail.inb.uni-luebeck.de
Kai Labusch, Erhardt Barth, and Thomas Martinetz. Simple Method for High-Performance Digit Recognition Based on Sparse Coding. IEEE Transactions on Neural ...
Soft-competitive learning of sparse data models
www.zhb.uni-luebeck.de
Journalartikel: [1] Kai Labusch, Erhardt Barth, and Thomas Martinetz. Robust and Fast Learning of Sparse Codes with Stochastic Gradient Descent.
Human Vision and Electronic Imaging XII | (2007) | Publications | Spie
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Listed below are the papers found in this volume. Click the paper title to view ... Author(s): Kai Labusch; Udo Siewert; Thomas Martinetz; Erhardt Barth
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete...
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Kai Labusch (1); Erhardt Barth (1); Thomas Martinetz (1). Author Affiliations. 1. Institute for Neuro- and Bioinformatics, University of Lübeck, Ratzeburger Alle 160, ...
Robust and Fast Learning of Sparse Codes With Stochastic Gradient...
researchr.org
@article{LabuschBM11-0, title = {Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent}, author = {Kai Labusch and Erhardt Barth and ...
Alle Infos zum Namen "Kai Labusch"
Learning optimal features for visual pattern recognitionSPIE Digital Library
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Kai Labusch, Udo Siewert, Thomas Martinetz, and Erhardt Barth "Learning optimal features for visual pattern recognition", Proc. SPIE 6492, Human Vision and ...
Partners — ARTTS
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Institute for Neuro- and Bioinformatics, University of Lübeck Erhardt Barth (coordinator) Martin Böhme Martin Haker Sascha Klement Kai Labusch Annette Dünninger
Big Data Analytics. Lucas Rego Drumond - PDF Free Download
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Bag of Pursuits and Neural Gas for Improved Sparse Coding Kai Labusch, Erhardt Barth, and Thomas Martinetz University of Lübec Institute for Neuro- and ...
Erhardt Barth - researchr alias
researchr.org
Soft-competitive learning of sparse codes and its application to image reconstructionKai Labusch, Erhardt Barth, Thomas Martinetz. ijon, 74(9): ,
KI - Künstliche Intelligenz | springerprofessional.de
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Sparse Coding and Selected Applications. Jens Hocke, Kai Labusch, Erhardt Barth, Thomas Martinetz | Fachbeitrag | Ausgabe
MNIST on Benchmarks.AI
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pdf, Simple Method for High-Performance Digit Recognition Based on Sparse Coding (TNN 2008), 0.59%. Kai Labusch, Erhardt Barth, Thomas Martinetz.
[PDF] Soft-competitive learning of sparse data modelsnbn-resolving.de › urn:nbn:de:gbv:
nbn-resolving.de
· Kai Labusch, Erhardt Barth, and Thomas Martinetz. Sparse Coding Neural Gas: Learn- ing of Overcomplete Data Representations.
7th International Workshop on Se
www.cnel.ufl.edu
- Kai Labusch, Erhardt Barth, and Thomas Martinetz. 10:10-10:40 Break. 10:40-12:20 Session 8: Science and Engineering Applications Chair: Marie Cottrell
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