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 .
Pattern Recognition: 30th DAGM Symposium Munich, Germany, ...google.com
books.google.com
Simple Incremental One-Class Support Vector Classification Kai Labusch, Fabian Timm, and Thomas Martinetz Institute for Neuro- and Bioinformatics, ...
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 ...
Learning Data Representations with Sparse Coding Neural ...European Symposium on Artificial Neural Networks
www.esann.org
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
Pattern Recognition - dandelon.comdandelon.com
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Kai Labusch, Fabian Timm, and Thomas Martinetz. A Multiple Kernel Learning Approach to Joint Multi-class Object. Detection.
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…
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
dblp.org
· 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.
Simple Incremental One-Class Support Vector ClassificationSpringer
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von K Labusch · · Zitiert von: 9 — Simple Incremental One-Class Support Vector Classification. Kai Labusch,; Fabian Timm &; Thomas Martinetz. Conference paper Accesses. 4 Citations.
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
Simple Incremental One-Class Support Vector Classification |...
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Simple Incremental One-Class Support Vector Classification. Authors; Authors and affiliations. Kai Labusch; Fabian Timm; Thomas Martinetz. Kai Labusch. 1.
SoftDoubleMinOver: A Simple Procedure for Maximum Margin...
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SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification. Thomas Martinetz, Kai Labusch, Daniel Schneegaß. SoftDoubleMinOver: A Simple ...
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 ...
perceptron-like training of support vector machinesNational Institutes of Health (.gov)
pubmed.ncbi.nlm.nih.gov
von T Martinetz · · Zitiert von: 14 — Authors. Thomas Martinetz , Kai Labusch, Daniel Schneegass. Affiliation. 1 Institute for Neuro- and Bioinformatics, University of Lübeck, Lübeck D , ...
Partners — ARTTSartts.eu
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— Kai Labusch Annette Dünninger Thomas Martinetz. Technical University of Denmark Rasmus Larsen Bjarne K. Ersbøll Dan Witzner Hansen
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
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Soft-competitive learning of sparse codes and its application to image reconstructionKai Labusch, Erhardt Barth, Thomas Martinetz. ijon, 74(9): ,
CiteSeerX — Active Bibliography: Kernel represenation of the Kesler...
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1, MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation – Daniel Schneegaß, Kai Labusch, Thomas Martinetz
KI - Künstliche Intelligenz | springerprofessional.de
www.springerprofessional.de
Sparse Coding and Selected Applications. Jens Hocke, Kai Labusch, Erhardt Barth, Thomas Martinetz | Fachbeitrag | Ausgabe
MNIST on Benchmarks.AI
benchmarks.ai
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.
SoftDoubleMaxMinOver: perceptron-like training of support vector...
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SoftDoubleMaxMinOver: perceptron-like training of support vector machines. Thomas Martinetz, Kai Labusch, Daniel Schneegass. IEEE Transactions on Neural ...
7th International Workshop on Se
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- 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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