Publications of Bernd Fritzke
Most papers are available as compressed (gzip) postscript files. There
also is a list of Bibtex entries. Comments are
welcome.
Journal Papers
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The LBG-U method for vector quantization - an improvement over LBG inspired
from neural networks, Neural Processing Letters (1997), Vol.5,
No. 1, (93 Kbytes), also appeared as internal
report IRINI 97-01
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Growing Grid - a self-organizing network with constant neighborhood
range and adaptation strength, Neural Processing Letters (1995),
Vol.2, No. 5, page 9-13 (75 Kbytes)
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Growing cell structures - a self-organizing network for unsupervised
and supervised learning, Neural Networks (1994), Vol. 7, No.
9, page 1441-1460
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Fast learning with incremental radial basis function networks, Neural
Processing Letters (1994), Vol.1, No. 1, page 2-5 ( 103
Kbytes)
Conference Papers
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A self-organizing network that can follow non-stationary distributions,
ICANN 1997, Lausanne (6 pages, 57 Kbytes)
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Incremental neuro-fuzzy systems, Proceedings of: Applications of
Soft Computing, SPIE International Symposium on Optical Science, Engineering
and Instrumentation, San Diego, 27 July - 1 August 1997 (12 pages, 733
Kbytes)
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Growing self-organizing networks - why?, ESANN 1996, Bruges, (12
pages, 143 Kbytes)
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Transforming hard problems into linearly separable ones with incremental
radial basis function networks, HELNET 94/95, (8 pages, 108
Kbytes)
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Incremental learning of local linear mappings, ICANN 1995, Paris
(6 pages, 178 Kbytes)
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A growing neural gas network learns topologies, NIPS 1994 Denver
(8 pages,148 Kbytes)
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Making hard problems linearly separable - incremental radial basis function
approaches, ICANN 1994, Sorrento (4 pages, 53
Kbytes)
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Supervised learning with growing cell structures, NIPS 1993 Denver
(8 pages, 146 Kbytes)
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Vector quantization with a growing and splitting elastic network,
ICANN 1993 Amsterdam (6 pages, 522 Kbytes)
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A growing and splitting elastic network for vector quantization,
IEEE NNSP 1993, Baltimore (8 pages, 541
Kbytes)
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Kohonen feature maps and growing cell structures - a performance comparison,
NIPS 1992, Denver (8 pages, 51 Kbytes)
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Using a library of efficient algorithms as a neural networks research
tool, ICANN 1992, Brighton (4 pages, 38
Kbytes)
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Growing cell structures - a self-organizing network in k dimensions,
ICANN 1992 Brighton (6 pages, 67 Kbytes)
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FLEXMAP - a neural network for the travelling salesman problem with
linear time and space complexity, IJCNN 1991, Singapore (6 pages, 146
Kbytes) (updated version)
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Unsupervised clustering with growing cell structures. IJCNN 1991
Seattle, (6 pages, 45 Kbytes)
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A neural network that learns to do hyphenation, ICANN 1991, Helsinki
(4 pages, 120 Kbytes)
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Let it grow - self-organizing feature maps with problem dependend cell
structure ICANN 1991, Helsinki (6 pages, 70
Kbytes)
Other
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Unsupervised
ontogenetic networks, in Handbook
of Neural Computation, IOP Publishing and Oxford University Press,
1996
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Growing cell structures - a self-organizing network for unsupervised
and supervised learning, ICSI TR 93-026 (34 pages, 298
Kbytes)
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Wachsende Zellstrukturen - ein selbstorganisierendes neuronales Netzwerkmodell,
doctoral thesis, Erlangen 1992, in German (137
pages, 762 Kbytes)
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Neuronale Netze und das Bias/Varianz-Dilemma, habilitation talk,
Erlangen 1998, in German (40 pages, 864
Kbytes)
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