11. ICANN 2001:
Vienna,
Austria
Georg Dorffner, Horst Bischof, Kurt Hornik (Eds.):
Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings.
Lecture Notes in Computer Science 2130 Springer 2001, ISBN 3-540-42486-5 BibTeX
@proceedings{DBLP:conf/icann/2001,
editor = {Georg Dorffner and
Horst Bischof and
Kurt Hornik},
title = {Artificial Neural Networks - ICANN 2001, International Conference
Vienna, Austria, August 21-25, 2001 Proceedings},
booktitle = {ICANN},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {2130},
year = {2001},
isbn = {3-540-42486-5},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Invited Papers
Data Analysis and Pattern Recognition
- Nicol N. Schraudolph:
Fast Curvature Matrix-Vector Products.
19-26
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- José R. Dorronsoro, Ana M. González, Carlos Santa Cruz:
Architecture Selection in NLDA Networks.
27-32
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- Vicente Ruiz de Angulo, Carme Torras:
Neural Learning Invariant to Network Size Changes.
33-40
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- Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise:
Boosting Mixture Models for Semi-supervised Learning.
41-48
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- Yves Grandvalet:
Bagging Can Stabilize without Reducing Variance.
49-56
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- Achim F. Müller, Hans-Georg Zimmermann:
Symbolic Prosody Modeling by Causal Retro-causal NNs with Variable Context Length.
57-64
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- Atsushi Sato:
Discriminative Dimensionality Reduction Based on Generalized LVQ.
65-72
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- Hirotaka Nakayama, Masao Arakawa, Rie Sasaki:
A Computational Intelligence Approach to Optimization with Unknown Objective Functions.
73-80
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- Samuel Kaski, Janne Sinkkonen, Janne Nikkilä:
Clustering Gene Expression Data by Mutual Information with Gene Function.
81-86
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- Sepp Hochreiter, A. Steven Younger, Peter R. Conwell:
Learning to Learn Using Gradient Descent.
87-94
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- Anita C. Faul, Michael E. Tipping:
A Variational Approach to Robust Regression.
95-102
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- Stephen J. Roberts, Christopher Holmes, Dave Denison:
Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo.
103-110
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- Sara Dolniar, Friedrich Leisch:
Behavioral Market Segmentation of Binary Guest Survey Data with Bagged Clustering.
111-118
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- Evangelos Dermatas:
Direct Estimation of Polynomial Densities in Generalized RBF Networks Using Moments.
119-126
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- Xavier Parra, Núria Agell, Xari Rovira:
Generalisation Improvement of Radial Basis Function Networks Based on Qualitative Input Conditioning for Financial Credit Risk Prediction.
127-134
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- Yoshifusa Ito, Cidambi Srinivasan:
Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information.
135-140
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- Mark Zlochin, Yoram Baram:
The Bias-Variance Dilemma of the Monte Carlo Method.
141-147
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- Takehiro Nishiyama, Kazuo Tsuchiya, Katsuyoshi Tsujita:
A Markov Chain Monte Carlo Algorithm for the Quadratic Assignment Problem Based on Replicator Equations.
148-155
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- Michael Weeks, Jim Austin, Anthony Moulds, Aaron Turner, Zygmunt Ulanowski, Julian Young:
Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster.
156-163
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- Alfred Strey, Martin Bange:
Accelerating RBF Network Simulation by Using Multimedia Extensions of Modern Microprocessors.
164-169
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- Wai-keung Fung, Yun-Hui Liu:
A Game-Theoretic Adaptive Categorization Mechanism for ART-Type Networks.
170-176
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- Irwin W. Sandberg:
Gaussian Radial Basis Functions and Inner-Product Spaces.
177-182
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- Masahiro Tanaka:
Mixture of Probabilistic Factor Analysis Model and Its Applications.
183-188
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- José María Valls, Pedro Isasi, Inés María Galván:
Deferring the Learning for Better Generalization in Radial Basis Neural Networks.
189-195
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- Christophe Lurette, Stéphane Lecoeuche:
Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis Function.
196-202
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- Krista Lagus, Esa Alhoniemi, Harri Valpola:
Independent Variable Group Analysis.
203-210
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- Fatih Köksal, Ethem Alpaydin, Günhan Dündar:
Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing.
211-216
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- Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
Voting-Merging: An Ensemble Method for Clustering.
217-224
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- James Cannady, Raymond C. Garcia:
The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks.
225-230
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- Chun Hung Li, Pong Chi Yuen:
Transductive Learning: Learning Iris Data with Two Labeled Data.
231-236
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- Achim Lewandowski, Peter Protzel:
Approximation of Time-Varying Functions with Local Regression Models.
237-246
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Theory
Kernel Methods
- Volker Tresp, Anton Schwaighofer:
Scalable Kernel Systems.
285-291
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- Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
On-Line Learning Methods for Gaussian Processes.
292-299
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- Lehel Csató, Dan Cornford, Manfred Opper:
Online Approximations for Wind-Field Models.
300-307
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- Shigeo Abe, Takuya Inoue:
Fast Training of Support Vector Machines by Extracting Boundary Data.
308-313
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- Eddy Mayoraz:
Multiclass Classification with Pairwise Coupled Neural Networks or Support Vector Machines.
314-321
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- Liva Ralaivola, Florence d'Alché-Buc:
Incremental Support Vector Machine Learning: A Local Approach.
322-330
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- Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller:
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers.
331-338
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- Volker Roth:
Sparse Kernel Regressors.
339-346
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- Thore Graepel, Mike Goutrié, Marco Krüger, Ralf Herbrich:
Learning on Graphs in the Game of Go.
347-352
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- Thomas Melzer, Michael Reiter, Horst Bischof:
Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis.
353-360
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- Ken-ichi Amemori, Shin Ishii:
Gaussian Process Approach to Stochastic Spiking Neurons with Reset.
361-368
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- Olivier Teytaud, David Sarrut:
Kernel Based Image Classification.
369-375
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- Mohammed El-Beltagy, W. Andy Wright:
Gaussian Processes for Model Fusion.
376-383
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- Tony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle:
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.
384-389
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- Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller:
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines.
390-398
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- Chellu Chandra Sekhar, Kazuya Takeda, Fumitada Itakura:
Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector Machines.
399-404
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- James T. Kwok:
Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector Regression.
405-410
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- Anton Schwaighofer, Volker Tresp:
The Bayesian Committee Support Vector Machine.
411-420
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Topographic Mapping
- Peter Tiño, Ian T. Nabney, Yi Sun:
Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds.
421-428
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- Manuel Martín-Merino, Alberto Muñoz:
Self Organizing Map and Sammon Mapping for Asymmetric Proximities.
429-435
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- Michele Milano, Jürgen Schmidhuber, Petros Koumoutsakos:
Active Learning with Adaptive Grids.
436-442
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- Ignacio Díaz Blanco, Alberto B. Diez González, Abel A. Cuadrado Vega:
Complex Process Visualization through Continuous Feature Maps Using Radial Basis Functions.
443-449
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- Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse:
A Soft k-Segments Algorithm for Principal Curves.
450-456
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- Chris Charalambous, George C. Hadjinicola, Eitan Muller:
Product Positioning Using Principles from the Self-Organizing Map.
457-463
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- Kristof Van Laerhoven:
Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor Data.
464-469
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- Antonios Atsalakis, Ioannis Andreadis, Nikos Papamarkos:
Histogram Based Color Reduction through Self-Organized Neural Networks.
470-476
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- Motonobu Hattori, Hiroya Arisumi, Hiroshi Ito:
Sequential Learning for SOM Associative Memory with Map Reconstruction.
477-484
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- Jarkko Venna, Samuel Kaski:
Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study.
485-491
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- Méziane Yacoub, Fouad Badran, Sylvie Thiria:
A Topological Hierarchical Clustering: Application to Ocean Color Classification.
492-499
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- Michael Dittenbach, Dieter Merkl, Andreas Rauber:
Hierarchical Clustering of Document Archives with the Growing Hierarchical Self-Organizing Map.
500-508
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Independent Component Analysis
- Roland Vollgraf, Ingo Schießl, Klaus Obermayer:
Blind Source Separation of Single Components from Linear Mixtures.
509-514
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- Konstantinos I. Diamantaras:
Blind Source Separation Using Principal Component Neural Networks.
515-520
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- Rubén Martín-Clemente, José I. Acha, Carlos García Puntonet:
Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton's Method.
521-526
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- Stephen J. Roberts, William D. Penny:
Mixtures of Independent Component Analysers.
527-534
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- Shotaro Akaho:
Conditionally Independent Component Extraction for Naive Bayes Inference.
535-540
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- Nikos A. Vlassis:
Fast Score Function Estimation with Application in ICA.
541-546
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- Alexander Ypma, Co Melissant, Ole Baunbæk-Jensen, Robert P. W. Duin:
Health Monitoring with Learning Methods.
547-553
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- Ioanna Christoyianni, Athanasios Koutras, Evangelos Dermatas, George K. Kokkinakis:
Breast Tissue Classification in Mammograms Using ICA Mixture Models.
554-560
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- Athanasios Koutras, Evangelos Dermatas, George K. Kokkinakis:
Neural Network Based Blind Source Separation of Non-linear Mixtures.
561-567
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- Nojun Kwak, Chong-Ho Choi, Jin-Young Choi:
Feature Extraction Using ICA.
568-576
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Signal Processing
- Edmondo Trentin, Marco Gori:
Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model.
577-582
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- Martin Bouchard:
Faster Convergence and Improved Performance in Least-Squares Training of Neural Networks for Active Sound Cancellation.
583-592
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- Ilyas Potamitis, Nikos Fakotakis, George K. Kokkinakis:
Bayesian Independent Component Analysis as Applied to One-Channel Speech Enhancement.
593-600
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- Bao-Liang Lu, Jonghan Shin, Michinori Ichikawa:
Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks.
601-608
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- Arthur Flexer, Herbert Bauer, Claus Lamm, Georg Dorffner:
Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component.
609-616
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- Peter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner:
A Probabilistic Approach to High-Resolution Sleep Analysis.
617-624
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- Vladimir Cherkassky, Steven Kilts:
Comparison of Wavelet Thresholding Methods for Denoising ECG Signals.
625-629
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- G. Sita, A. G. Ramakrishnan:
Evoked Potential Signal Estimation Using Gaussian Radial Basis Function Network.
630-635
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- Bernhard Obermaier, Gernot Müller, Gert Pfurtscheller:
'Virtual Keyboard' Controlled by Spontaneous EEG Activity.
636-641
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- David Sommer, Martin Golz:
Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps.
642-649
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- Wei Lee Woon, David Lowe:
Nonlinear Signal Processing for Noise Reduction of Unaveraged Single Channel MEG Data.
650-660
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Time Series Processing
- Sepp Hochreiter, Michael Mozer:
A Discrete Probabilistic Memory Model for Discovering Dependencies in Time.
661-668
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- Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
Applying LSTM to Time Series Predictable through Time-Window Approaches.
669-676
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- Marc Strickert, Thorsten Bojer, Barbara Hammer:
Generalized Relevance LVQ for Time Series.
677-683
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- Magdalena Klapper-Rybicka, Nicol N. Schraudolph, Jürgen Schmidhuber:
Unsupervised Learning in LSTM Recurrent Neural Networks.
684-691
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- Hiroshi Murata, Takashi Onoda:
Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances.
692-698
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- Alessio Plebe, Marcello A. Anile, Salvatore Rinaudo:
Neural Networks in Circuit Simulators.
699-705
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- Gustavo Camps-Valls, Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano-López, Juan José Pérez-Ruixo, N. Víctor Jiménez:
Neural Networks Ensemble for Cyclosporine Concentration Monitoring.
706-711
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- Hirotaka Inoue, Yoshinobu Fukunaga, Hiroyuki Narihisa:
Efficient Hybrid Neural Network for Chaotic Time Series Prediction.
712-718
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- Juan Antonio Pérez-Ortiz, Jorge Calera-Rubio, Mikel L. Forcada:
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks.
719-724
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- Stanislav Kaleta, Daniel Novotný, Peter Sincak:
Prediction Systems Based on FIR BP Neural Networks.
725-730
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- Barbara Hammer:
On the Generalization Ability of Recurrent Networks.
731-736
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- Michal Cernanský, Lubica Benusková:
Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner.
737-742
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- Volodymyr Turchenko, Volodymyr Kochan, Anatoly Sachenko:
Estimation of Computational Complexity of Sensor Accuracy Improvement Algorithm Based on Neural Networks.
743-748
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- Christian Dietrich, Friedhelm Schwenker, Günther Palm:
Fusion Architectures for the Classification of Time Series.
749-758
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Special Session:
Agent-Based Economic Modeling
Selforganization and Dynamical Systems
- Heiko Wersing, Helge Ritter:
Using Maximal Recurrence in Linear Threshold Competitive Layer Networks.
799-805
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- Jirí Síma, Pekka Orponen:
Exponential Transients in Continuous-Time Symmetric Hopfield Nets.
806-813
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- Hugo de Garis, Andrzej Buller, Leo de Penning, Tomasz Chodakowski, Derek Decesare:
Initial Evolution Results on CAM-Brain Machines (CBMs).
814-819
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- Christof Teuscher, Eduardo Sanchez:
Self-Organizing Topology Evolution of Turing Neural Networks.
820-826
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- Brijnesh J. Jain, Fritz Wysotzki:
Efficient Pattern Discrimination with Inhibitory WTA Nets.
827-834
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- Ryotaro Kamimura, Taeko Kamimura:
Cooperative Information Control to Coordinate Competition and Cooperation.
835-842
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- Yasuaki Kuroe, Naoki Hashimoto, Takehiro Mori:
Qualitative Analysis of Continuous Complex-Valued Associative Memories.
843-850
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- Nils Goerke, Florian Kintzler, Rolf Eckmiller:
Self Organized Partitioning of Chaotic Attractors for Control.
851-856
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- W. Andy Wright, Robert E. Smith, Martin Danek, Pillip Greenway:
A Generalisable Measure of Self-Organisation and Emergence.
857-864
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- Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber:
Market-Based Reinforcement Learning in Partially Observable Worlds.
865-873
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- W. Andy Wright:
Sequential Strategy for Learning Multi-stage Multi-agent Collaborative Games.
874-884
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Robotics and Control
- Volker Stephan, Horst-Michael Gross:
Neural Architecture for Mental Imaging of Sequences Based on Optical Flow Predictions.
885-890
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- Gunther Heidemann, Helge Ritter:
Visual Checking of Grasping Positions of a Three-Fingered Robot Hand.
891-898
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- Andrea Heinze, Horst-Michael Gross:
Anticipation-Based Control Architecture for a Mobile Robot.
899-905
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- Nadia Saadia, Yassine Amirat, Jean Pontnaut, Amar Ramdane-Cherif:
Neural Adaptive Force Control for Compliant Robots.
906-913
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- Michiyo Suzuki, Toru Yamamoto, Kazuo Kawada, Hiroyuki Sogo:
A Design of Neural-Net Based Self-Tuning PID Controllers.
914-921
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- Wai Sum Tang, Cherry Miu Ling Lam, Jun Wang:
Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural Network.
922-929
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- Ieroham S. Baruch, Jose Martín Flores, Federico Thomas, Ruben Garrido:
Adaptive Neural Control of Nonlinear Systems.
930-936
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- Jinglu Hu, Kotaro Hirasawa:
A Hierarchical Method for Training Embedded Sigmoidal Neural Networks.
937-942
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- Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller:
Towards Learning Path Planning for Solving Complex Robot Tasks.
943-950
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- Hussain N. Al-Duwaish, Ali Syed Saad Azhar:
Hammerstein Model Identification Using Radial Basis Functions Neural Networks.
951-956
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- Martin Hülse, Bruno Lara, Frank Pasemann, Ulrich Steinmetz:
Evolving Neural Behaviour Control for Autonomous Robots.
957-962
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- Anand Panangadan, Michael G. Dyer:
Construction by Autonomous Agents in a Simulated Environment.
963-970
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- Masazumi Katayama:
A Neural Control Model Using Predictive Adjustment Mechanism of Viscoelastic Property of the Human Arm.
971-976
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- Yasuhiro Wada, Yuichi Kaneko, Eri Nakano, Rieko Osu, Mitsuo Kawato:
Multi Joint Arm Trajectory Formation Based on the Minimization Principle Using the Euler-Poisson Equation.
977-986
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Vision and Image Processing
- Kunihiko Fukushima:
Neocognitron of a New Version: Handwritten Digit Recognition.
987-992
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- Alex Cozzi, Myron Flickner, Jianchang Mao, Shivakumar Vaithyanathan:
A Comparison of Classifiers for Real-Time Eye Detection.
993-999
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- Axel Wismüller, Oliver Lange, Dominik R. Dersch, Klaus Hahn, Gerda L. Leinsinger:
Neural Network Analysis of Dynamic Contrast-Enhanced MRI Mammography.
1000-1005
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- Antonios Atsalakis, Nikos Papamarkos, Charalambos Strouthopoulos:
A New Adaptive Color Quantization Technique.
1006-1012
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- Margarita Kuzmina, Eduard A. Manykin, Irina Surina:
Tunable Oscillatory Network for Visual Image Segmentation.
1013-1019
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- Seok-Woo Jang, Gye-Young Kim, Hyung-Il Choi:
Detecting Shot Transitions for Video Indexing with FAM.
1020-1025
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- Jan Wieghardt, Hartmut S. Loos:
Finding Faces in Cluttered Still Images with Few Examples.
1026-1033
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- Antonio Chella, Maria Donatella Guarino, Roberto Pirrone:
Description of Dynamic Structured Scenes by a SOM/ARSOM Hierarchy.
1034-1041
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- Yin Huang, Ponnuthurai N. Suganthan, Shankar M. Krishnan, Xiang Cao:
Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map.
1042-1047
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- Xiang Cao, Ponnuthurai N. Suganthan:
Video Sequence Boundary Detection Using Neural Gas Networks.
1048-1053
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- George Votsis, Nikolaos D. Doulamis, Anastasios D. Doulamis, Nicolas Tsapatsoulis, Stefanos D. Kollias:
A Neural-Network-Based Approach to Adaptive Human Computer Interaction.
1054-1059
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- Anastasios D. Doulamis, Klimis S. Ntalianis, Nikolaos D. Doulamis, Stefanos D. Kollias:
Adaptable Neural Networks for Unsupervised Video Object Segmentation of Stereoscopic Sequences.
1060-1068
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Computational Neuroscience
- Masayuki Kikuchi, Youhei Akashi:
A Model of Border-Ownership Coding in Early Vision.
1069-1074
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- Christoph Kayser, Wolfgang Einhäuser, Olaf Dümmer, Peter König, Konrad P. Körding:
Extracting Slow Subspaces from Natural Videos Leads to Complex Cells.
1075-1080
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- Stefan D. Wilke:
Neural Coding of Dynamic Stimuli.
1081-1086
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- Ken-ichi Amemori, Shin Ishii:
Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model.
1087-1094
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- Baran Çürüklü, Anders Lansner:
Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons.
1095-1102
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- Leslie S. Smith:
Using Depressing Synapses for Phase Locked Auditory Onset Detection.
1103-1108
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- Robert Haschke, Jochen J. Steil, Helge Ritter:
Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs.
1109-1114
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- Bernd Porr, Florentin Wörgötter:
Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical Conditioning.
1115-1120
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- Tadashi Yamazaki:
A Mathematical Analysis of a Correlation Based Model for the Orientation Map Formation.
1121-1128
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- Emmanuel Daucé:
Learning from Chaos: A Model of Dynamical Perception.
1129-1134
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- Fanni Misják, Máté Lengyel, Péter Érdi:
Episodic Memory and Cognitive Map in a Rate Model Network of the Rat Hippocampus.
1135-1140
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- Carsten Schauer, Horst-Michael Gross:
A Model of Horizontal 360° Object Localization Based on Binaural Hearing and Monocular Vision.
1141-1146
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- Cornelius Weber:
Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex.
1147-1152
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- Yuichi Sakumura, Norio Konno, Kazuyuki Aihara:
Markov Chain Model Approximating the Hodgkin-Huxley Neuron.
1153-1162
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Connectionist Cognitive Science
- Stuart N. Wrigley, Guy J. Brown:
A Neural Oscillator Model of Auditory Attention.
1163-1170
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- Pierre-Yves Oudeyer:
Coupled Neural Maps for the Origins of Vowel Systems.
1171-1176
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- Massih-Reza Amini, Patrick Gallinari:
Learning for Text Summarization Using Labeled and Unlabeled Sentences.
1177-1184
Electronic Edition (Springer LINK) BibTeX
- Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ichikawa, Hitoshi Isahara:
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks.
1185-1192
Electronic Edition (Springer LINK) BibTeX
- DaeEun Kim, Jaeho Lee:
Instance-Based Method to Extract Rules from Neural Networks.
1193-1198
Electronic Edition (Springer LINK) BibTeX
- Victoria J. Hodge, Jim Austin:
A Novel Binary Spell Checker.
1199-1204
Electronic Edition (Springer LINK) BibTeX
- Neill R. Taylor, John G. Taylor:
Neural Nets for Short Movements in Natural Language Processing.
1205-1210
Electronic Edition (Springer LINK) BibTeX
- Timo Koskela, Jukka Heikkonen, Kimmo Kaski:
Using Document Features to Optimize Web Cache.
1211-1216
Electronic Edition (Springer LINK) BibTeX
- Yasuhiro Wada, Kei Ohkawa, Keiichi Sumita:
Generation of Diversiform Characters Using a Computational Handwriting Model and a Genetic Algorithm.
1217-1224
Electronic Edition (Springer LINK) BibTeX
- Ryotaro Kamimura, Taeko Kamimura:
Information Maximization and Language Acquisition.
1225-1232
Electronic Edition (Springer LINK) BibTeX
- Steve Womble, Stefan Wermter:
A Mirror Neuron System for Syntax Acquisition.
1233-1238
Electronic Edition (Springer LINK) BibTeX
- Douglas Eck:
A Network of Relaxation Oscillators that Finds Downbeats in Rhythms.
1239-1247
Electronic Edition (Springer LINK) BibTeX
- Minoru Fukumi, Yasue Mitsukura, Norio Akamatsu:
Knowledge Incorporation and Rule Extraction in Neural Networks.
1248-1254
Electronic Edition (Springer LINK) BibTeX
Copyright © Sat May 16 23:16:11 2009
by Michael Ley (ley@uni-trier.de)
