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ORCID12. ICANN 2002: Madrid, Spain
- José R. Dorronsoro:
Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings. Lecture Notes in Computer Science 2415, Springer 2002, ISBN 3-540-44074-7
Computational Neuroscience
- Gustavo Deco, Edmund T. Rolls:
A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data. 3-8 - Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado:
A Neural Model of Spatio Temporal Coordination in Prehension. 9-14 - Andreas Thiel, Christian W. Eurich, Helmut Schwegler:
Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback. 15-20 - Wolfgang Einhäuser, Christoph Kayser, Konrad P. Körding, Peter König:
Learning Multiple Feature Representations from Natural Image Sequences. 21-26 - Carlos Aguirre, Ramón Huerta, Fernando J. Corbacho, Pedro Pascual:
Analysis of Biologically Inspired Small-World Networks. 27-32 - Jarmo Hurri, Aapo Hyvärinen:
Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video. 33-38 - Maria Marinaro, Silvia Scarpetta
:
Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks. 39-44 - Bruce P. Graham:
Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse. 45-50 - Barbara Caputo, Heinrich Niemann:
Storage Capacity of Kernel Associative Memories. 51-56 - Jörg Lücke, Christoph von der Malsburg, Rolf P. Würtz:
Macrocolumns as Decision Units. 57-62 - Thomas Wennekers:
Nonlinear Analysis of Simple Cell Tuning in Visual Cortex. 63-68 - Phill Rowcliffe, Jianfeng Feng, Hilary Buxton:
Clustering within Integrate-and-Fire Neurons for Image Segmentation. 69-74 - Rogério de Oliveira, Luiz Henrique Alves Monteiro:
Symmetry Detection Using Global-Locally Coupled Maps. 75-80 - Pietro Berkes, Laurenz Wiskott:
Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties. 81-86 - Thomas Strösslin, Christophe Krebser, Angelo Arleo, Wulfram Gerstner:
Combining Multimodal Sensory Input for Spatial Learning. 87-92 - Rüdiger Kupper, Reinhard Eckhorn:
A Neural Network Model Generating Invariance for Visual Distance. 93-98 - Ilya A. Rybak, Dmitry G. Ivashko, Boris I. Prilutsky, M. Anthony Lewis, John K. Chapin:
Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG. 99-104 - Angel Nevado, Malcolm P. Young, Stefano Panzeri:
Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques. 105-110 - Maurizio Mattia, Paolo Del Giudice:
Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays. 111-116 - Nhamo Mtetwa, Leslie S. Smith, Amir Hussain:
Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons. 117-122 - Peter Auer, Harald Burgsteiner, Wolfgang Maass:
Reducing Communication for Distributed Learning in Neural Networks. 123-128 - David R. C. Dominguez, Elka Korutcheva, W. K. Theumann, Rubem Erichsen Jr.:
Flow Diagrams of the Quadratic Neural Network. 129-134 - Gianluigi Mongillo, Daniel J. Amit:
Dynamics of a Plastic Cortical Network. 135-140 - Michele Giugliano, Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Stefano Fusi:
Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron. 141-146 - Kris De Meyer, J. Mark Bishop, Slawomir J. Nasuto:
Small-World Effects in Lattice Stochastic Diffusion Search. 147-152 - Burkhard Iske, Axel Löffler, Ulrich Rückert:
A Direction Sensitive Network Based on a Biophysical Neurone Model. 153-159 - Roberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona:
Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis. 160-166 - Francisco de Borja Rodríguez Ortiz, Roberto Latorre, Pablo Varona:
Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis. 167-173 - José Manuel Ferrández de Vicente, Markus Bongard, Francisco García de Quirós, Jose Angel Bolea, Eduardo Fernández:
Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory. 174-179 - Giancarlo La Camera, Alexander Rauch, Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi:
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations. 180-185 - David C. Sterratt, Arjen van Ooyen:
Does Morphology Influence Temporal Plasticity? 186-191 - Christopher Johansson, Anders Sandberg, Anders Lansner:
Attractor Neural Networks with Hypercolumns. 192-197 - Eduardo Sánchez Vila, Senén Barro, Antonio Canedo:
Edge Detection and Motion Discrimination in the Cuneate Nucleus. 198-203 - Alessandro Usseglio Viretta, Stefano Fusi, Shih-Chii Liu:
Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks. 204-209 - Darryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe:
Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons. 210-215 - Francisco García-Córdova, Javier Molina-Vilaplana, Juan López Coronado:
A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform. 216-222 - Rubén Moreno, Néstor Parga:
Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input. 223-228 - Jens R. Otterpohl, Klaus Pawelzik:
Iterative Population Decoding Based on Prior Beliefs. 229-234 - Giancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch, Hans-Rudolf Lüscher:
When NMDA Receptor Conductances Increase Inter-spike Interval Variability. 235-240 - Stefano Fusi:
Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity. 241-247 - Manuel A. Sánchez-Montañés, Luis Fernando Lago-Fernández, Nazareth P. Castellanos, Ángel Merchán-Pérez, Jon I. Arellano, Javier DeFelipe:
A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy. 248-253 - Wolfgang Maass:
On the Computational Power of Neural Microcircuit Models: Pointers to the Literature. 254-258
Connectionist Cognitive Science
- Erol Gelenbe, Ricardo Lent, Zhiguang Xu:
Networking with Cognitive Packets. 259-264 - J. G. (Iain) Wallace, Kevin Bluff:
Episodic Memory: A Connectionist Interpretation. 265-270 - Hervé Frezza-Buet:
Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach. 271-276 - Ivilin Peev Stoianov, Marco Zorzi, Suzanna Becker, Carlo Umilta:
Associative Arithmetic with Boltzmann Machines: The Role of Number Representations. 277-283 - Douglas Eck, Jürgen Schmidhuber:
Learning the Long-Term Structure of the Blues. 284-289 - Antonella Bua, Marco Gori, Fabrizio Santini:
Recursive Neural Networks Applied to Discourse Representation Theory. 290-295 - Sheila Garfield, Stefan Wermter:
Recurrent Neural Learning for Helpdesk Call Routing. 296-301 - Jerzy Korczak, Emmanuel Blindauer:
An Approach to Encode Multilayer Perceptrons. 302-307 - J. Mark Bishop, Slawomir J. Nasuto, Kris De Meyer:
Dynamic Knowledge Representation in Connectionist Systems. 308-313 - Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchis:
Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. 314-322
Data Analysis and Pattern Recognition
- J. David Buldain Pérez:
Entropic Measures with Radial Basis Units. 323-328 - Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller:
New Methods for Splice Site Recognition. 329-336 - Yoshifusa Ito:
A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks. 337-343 - Syed Saad Azhar Ali, Hussain N. Al-Duwaish:
Identification of Wiener Model Using Radial Basis Functions Neural Networks. 344-350 - Max Welling, Geoffrey E. Hinton:
A New Learning Algorithm for Mean Field Boltzmann Machines. 351-357 - Hsin Chen, Alan F. Murray:
A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning Algorithm. 358-363 - José Elías Herrero Jaraba, Carlos Orrite-Uruñuela, J. David Buldain Pérez, Armando Roy-Yarza:
Human Recognition by Gait Analysis Using Neural Networks. 364-369 - Barbara Hammer, Marc Strickert, Thomas Villmann:
Learning Vector Quantization for Multimodal Data. 370-376 - Miroslaw Galicki, Lutz Leistritz, Herbert Witte:
Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities. 377-382 - Bart Bakker, Tom Heskes:
Model Clustering for Neural Network Ensembles. 383-388 - José Luis Fernández-Villacañas Martín, Mónica Sierra Sánchez:
Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms? 389-394 - Jesús Manuel Besada-Juez, Miguel Angel Sanz-Bobi:
Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network. 395-400 - Andreas Alexander Albrecht, Staal Amund Vinterbo, C. K. Wong, Lucila Ohno-Machado:
A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data. 401-407 - Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
Neural Minimax Classifiers. 408-413 - Martin Lauer:
Sampling Parameters to Estimate a Mixture Distribution with Unknown Size. 414-419 - Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist:
Selecting Neural Networks for Making a Committee Decision. 420-425 - Patrice Fleury, Alan F. Murray, H. Martin Reekie:
High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning. 426-431 - Sebastian Weng, Jochen J. Steil:
Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling. 432-437 - Miguel L. Bote-Lorenzo, Yannis A. Dimitriadis, Eduardo Gómez-Sánchez:
A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-Fuzzy System for On-Line Handwriting Recognition. 438-443 - Giancarlo Ferrari-Trecate, Marco Muselli:
A New Learning Method for Piecewise Linear Regression. 444-449 - Thore Graepel, Nicol N. Schraudolph:
Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. 450-455 - Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo:
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. 456-461 - Victor M. Preciado:
Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network. 462-467 - Davide Anguita, Matteo Gagliolo:
MDL Based Model Selection for Relevance Vector Regression. 468-473 - Mario Köppen:
On the Training of a Kolmogorov Network. 474-479 - Nojun Kwak, Chong-Ho Choi:
A New Method of Feature Extraction and Its Stability. 480-485 - Khalid Benabdeslem, Younès Bennani, Eric Janvier:
Visualization and Analysis of Web Navigation Data. 486-491 - Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii:
Missing Value Estimation Using Mixture of PCAs. 492-497 - Jakob Svensson, Manfred von Hellermann, Ralf König:
High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas. 498-503 - Krzysztof Grabczewski, Wlodzislaw Duch:
Heterogeneous Forests of Decision Trees. 504-509 - Stéphane Bounkong, David Saad, David Lowe:
Independent Component Analysis for Domain Independent Watermarking. 510-515 - Thomas Ragg, Frank Padberg, Ralf Schoknecht:
Applying Machine Learning to Solve an Estimation Problem in Software Inspections. 516-521 - Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii:
Clustering of Gene Expression Data by Mixture of PCA Models. 522-527 - Masashi Sugiyama, Klaus-Robert Müller:
Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces. 528-534 - Takafumi Kanamori:
A New Sequential Algorithm for Regression Problems by Using Mixture Distribution. 535-540 - Damián López, María José Castro:
Neural-Based Classification of Blocks from Documents. 541-546 - Sancho Salcedo-Sanz, Mario de Prado-Cumplido, Fernando Pérez-Cruz, Carlos Bousoño-Calzón:
Feature Selection via Genetic Optimization. 547-552 - Jesús González, Ignacio Rojas, Héctor Pomares:
Neural Networks, Clustering Techniques, and Function Approximation Problems. 553-558 - Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser:
Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. 559-564 - César Ernesto Martínez, Alfons Juan, Francisco Casacuberta:
Using Recurrent Neural Networks for Automatic Chromosome Classification. 565-570 - Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
A Mixed Ensemble Approach for the Semi-supervised Problem. 571-576 - Álvaro Mateos, Javier Herrero, Joaquín Dopazo:
Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes. 577-582 - Gérald Gavin, Olivier Teytaud:
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error. 583-588 - Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas:
SSA, SVD, QR-cp, and RBF Model Reduction. 589-594 - Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner:
Linkage Analysis: A Bayesian Approach. 595-600 - Alessandro Sperduti:
On Linear Separability of Sequences and Structures. 601-606 - Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann:
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. 607-612 - Pedro J. Zufiria, Carlos Rivero:
EM-Based Radial Basis Function Training with Partial Information. 613-618 - Matteo Giudici, Filippo Queirolo, Maurizio Valle:
Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters. 619-624 - Alejandro Sierra, Fernando J. Corbacho:
Input and Output Feature Selection. 625-630 - Luis Fernando Lago-Fernández, Fernando J. Corbacho:
Optimal Extraction of Hidden Causes. 631-636 - Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
Towards a New Information Processing Measure for Neural Computation. 637-642 - Magnus Stensmo:
A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System. 643-648 - Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi:
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. 649-654 - Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. 655-660 - Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. 661-666 - Brieuc Conan-Guez, Fabrice Rossi:
Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach. 667-672 - José R. Dorronsoro, Ana M. González:
Natural Gradient and Multiclass NLDA Networks. 673-680
Kernel Methods
- Gavin C. Cawley, Nicola L. C. Talbot:
A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. 681-686 - Vladimir Cherkassky, Yunqian Ma:
Selection of Meta-parameters for Support Vector Regression. 687-693 - Thore Graepel:
Kernel Matrix Completion by Semidefinite Programming. 694-699 - Masa-aki Sato, Shigeyuki Oba:
Incremental Sparse Kernel Machine. 700-707 - Alain Rakotomamonjy, Stéphane Canu:
Frame Kernels for Learning. 707-712 - Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle:
Robust Cross-Validation Score Function for Non-linear Function Estimation. 713-719 - Bart Hamers, Johan A. K. Suykens, Bart De Moor:
Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models. 720-726 - Koji Tsuda, Motoaki Kawanabe:
The Leave-One-Out Kernel. 727-732 - Silvio Borer, Wulfram Gerstner:
Support Vector Representation of Multi-categorical Data. 733-738 - Takashi Takahashi, Takio Kurita:
Robust De-noising by Kernel PCA. 739-744 - Peter Meinicke, Thorsten Twellmann, Helge J. Ritter:
Maximum Contrast Classifiers. 745-750 - Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Puncturing Multi-class Support Vector Machines. 751-756 - Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Multi-dimensional Function Approximation and Regression Estimation. 757-762 - Javier M. Moguerza, Alberto Muñoz, Manuel Martín-Merino:
Detecting the Number of Clusters Using a Support Vector Machine Approach. 763-768 - George Siolas, Florence d'Alché-Buc:
Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling. 769-776
Robotics and Control
- Masa-aki Sato, Yutaka Nakamura, Shin Ishii:
Reinforcement Learning for Biped Locomotion. 777-782 - Martin Hülse, Frank Pasemann:
Dynamical Neural Schmitt Trigger for Robot Control. 783-788 - David McMinn, Grant M. Maxwell, Christopher MacLeod:
Evolutionary Artificial Neural Networks for Quadruped Locomotion. 789-794 - Jörg Conradt, Pascal Simon, Michel Pescatore, Paul F. M. J. Verschure:
Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance. 795-800 - Randa Herzallah, David Lowe:
A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems. 801-806 - Rodolfo E. Haber, Angel Alique, José R. Alique:
Tool Wear Prediction in Milling Using Neural Networks. 807-812 - Ralf Schoknecht, Martin A. Riedmiller:
Speeding-up Reinforcement Learning with Multi-step Actions. 813-818 - Branimir Todorovic, Miomir S. Stankovic, Claudio Moraga:
Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification. 819-824 - Wolfgang Hübner, Hanspeter A. Mallot:
Integration of Metric Place Relations in a Landmark Graph. 825-830 - Steffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard K. Kraetzschmar, Günther Palm:
Hierarchical Object Classification for Autonomous Mobile Robots. 831-836 - José Antonio Becerra, Richard J. Duro, José Santos Reyes:
Self Pruning Gaussian Synapse Networks for Behavior Based Robots. 837-843 - Samuel Benzaquen, Carolina Chang:
Second-Order Conditioning in Mobile Robots. 844-849 - Lukas Lichtensteiger, Rolf Pfeifer:
An Optimal Sensor Morphology Improves Adaptability of Neural Network Controllers. 850-855 - Vicente Ruiz de Angulo, Carme Torras:
Learning Inverse Kinematics via Cross-Point Function Decomposition. 856-864
Selforganization
- Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
The Principal Components Analysis Self-Organizing Map. 865-870 - Elias Pampalk, Andreas Rauber, Dieter Merkl:
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps. 871-876 - Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann:
Rule Extraction from Self-Organizing Networks. 877-883 - Akira Hirose, Tomoyuki Nagashima:
Predictive Self-Organizing Map for Vector Quantization of Migratory Signals. 884-889 - Mustapha Lebbah, Christian Chabanon, Fouad Badran, Sylvie Thiria:
Categorical Topological Map. 890-895 - Christo Panchev, Stefan Wermter, Huixin Chen:
Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites. 896-901 - Axel Saalbach, Gunther Heidemann, Helge J. Ritter:
Parametrized SOMs for Object Recognition and Pose Estimation. 902-907 - Alessio Plebe:
An Effective Traveling Salesman Problem Solver Based on Self-Organizing Map. 908-913 - Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse:
Coordinating Principal Component Analyzers. 914-919 - Roberto Viviani:
Lateral Interactions in Self-Organizing Maps. 920-926 - Anssi Lensu, Pasi Koikkalainen:
Complexity Selection of the Self-Organizing Map. 927-932 - John Aldo Lee, Michel Verleysen:
Nonlinear Projection with the Isotop Method. 933-938 - Jens Christian Claussen, Heinz G. Schuster:
Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map. 939-944 - Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas:
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. 945-950 - Juha Vesanto, Mika Sulkava:
Distance Matrix Based Clustering of the Self-Organizing Map. 951-956 - Dimitrios Vogiatzis, Andreas Stafylopatis:
Mapping the Growing Neural Gas to Situation Calculus. 957-962 - Ernesto Chiarantoni, Giuseppe Acciani, Girolamo Fornarelli, Silvano Vergura:
Robust Unsupervised Competitive Neural Network by Local Competitive Signals. 963-968 - Anand Panangadan, Michael G. Dyer:
Goal Sequencing for Construction Agents in a Simulated Environment. 969-974 - Guilherme De A. Barreto, Aluízio F. R. Araújo:
Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map. 975-980 - Markus Koskela, Jorma Laaksonen, Erkki Oja:
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. 981-986 - Andrew Hunter, Richard Lee Kennedy:
A Pareto Self-Organizing Map. 987-992 - Apostolos Georgakis, Constantine Kotropoulos, Ioannis Pitas:
A SOM Variant Based on the Wilcoxon Test for Document Organization and Retrieval. 993-998 - Jaakko Peltonen, Arto Klami, Samuel Kaski:
Learning More Accurate Metrics for Self-Organizing Maps. 999-1004 - Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez González:
Correlation Visualization of High Dimensional Data Using Topographic Maps. 1005-1012
Signal and Time Series Analysis
- Arthur Flexer, Georg Gruber, Georg Dorffner:
Continuous Unsupervised Sleep Staging Based on a Single EEG Signal. 1013-1018 - Kai Chun Chiu, Lei Xu:
Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management. 1019-1024 - Zhiyong Liu, Lei Xu:
On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model. 1025-1030 - Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic:
Error Functions for Prediction of Episodes of Poor Air Quality. 1031-1036 - José L. Sanz-González, Francisco Álvarez-Vaquero:
Adaptive Importance Sampling Technique for Neural Detector Training. 1037-1042 - Hans van Lint, Serge P. Hoogendoorn, Henk J. van Zuylen:
State Space Neural Networks for Freeway Travel Time Prediction. 1043-1048 - Fabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet:
Overcomplete ICA with a Geometric Algorithm. 1049-1054 - Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. 1055-1069 - Georg Zimmermann, Ralph Grothmann, Christoph Tietz, Ralph Neuneier:
Market Modeling Based on Cognitive Agents. 1061-1067 - Mikko Kurimo, Krista Lagus:
An Efficiently Focusing Large Vocabulary Language Model. 1068-1073 - Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components. 1074-1079 - Héctor Allende, Claudio Moraga, Rodrigo Salas:
Robust Estimator for the Learning Process in Neural Networks Applied in Time Series. 1080-1086 - Tobias Blaschke, Laurenz Wiskott:
An Improved Cumulant Based Method for Independent Component Analysis. 1087-1093 - Lars Kindermann, Achim Lewandowski, Peter Protzel:
Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration. 1094-1099 - José Luis Rojo-Álvarez, Arcadi García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Support Vector Robust Algorithms for Non-parametric Spectral Analysis. 1100-1105 - José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez:
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. 1106-1111 - Gleb Basalyga, Magnus Rattray:
Dynamics of ICA for High-Dimensional Data. 1112-1118 - Riccardo Boscolo, Hong Pan, Vwani P. Roychowdhury:
Beyond Comon's Identifiability Theorem for Independent Component Analysis. 1119-1124 - Alexandre Hauser, Pierre-Edouard Sottas, José del R. Millán:
Temporal Processing of Brain Activity for the Recognition of EEG Patterns. 1125-1130 - Panayiotis Ch. Andreou, Chris Charalambous, Spiros H. Martzoukos:
Critical Assessment of Option Pricing Methods Using Artificial Neural Networks. 1131-1136 - Benjamin Blankertz, Christin Schäfer, Guido Dornhege, Gabriel Curio:
Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates. 1137-1143 - Pierre-Edouard Sottas, Wulfram Gerstner:
Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks. 1144-1149 - Gustavo López-Risueño, Jesús Grajal, Simon Haykin, Rosa Díaz-Oliver:
Convolutional Neural Networks for Radar Detection. 1150-1155 - Jens Kohlmorgen, Benjamin Blankertz:
A Simple Generative Model for Single-Trial EEG Classification. 1156-1161 - Pando G. Georgiev, Andrzej Cichocki:
Robust Blind Source Separation Utilizing Second and Fourth Order Statistics. 1162-1167 - Seungjin Choi:
Adaptive Differential Decorrelation: A Natural Gradient Algorithm. 1168-1173 - Carmen Peláez-Moreno, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Adrián Zambrano-Miranda, Fernando Díaz-de-María:
An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services. 1174-1179 - Jens R. Otterpohl:
Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial Constraints. 1180-1185 - Alberto Suárez:
Mixtures of Autoregressive Models for Financial Risk Analysis. 1186-1194
Vision and Image Processing
- Annalisa Barla, Francesca Odone:
Kernel-Based 3D Object Representation. 1195-1200 - Souheila Ghennam, Khier Benmahammed:
Multiresolution Support for Adaptive Image Restoration Using Neural Networks. 1201-1206 - Renaud Séguier, David Mercier:
Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons. 1207-1212 - Antonio Turiel, Jean-Pierre Nadal, Néstor Parga:
An Algorithm for Image Representation as Independent Levels of Resolution. 1213-1218 - Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx, Elena Vicario:
Circular Back-Propagation Networks for Measuring Displayed Image Quality. 1219-1224 - Heiko Wersing, Edgar Körner:
Unsupervised Learning of Combination Features for Hierarchical Recognition Models. 1225-1230 - Igor N. Aizenberg, Taras Bregin, Constantine Butakoff, Victor N. Karnaukhov, Nickolay S. Merzlyakov, Olga Milukova:
Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration. 1231-1236 - Gerriet Backer, Bärbel Mertsching:
Using Neural Field Dynamics in the Context of Attentional Control. 1237-1242 - Jens Teichert, Rainer Malaka:
A Component Association Architecture for Image Understanding. 1243-1248 - Jonathan D. Owens, Andrew Hunter, Eric Fletcher:
Novelty Detection in Video Surveillance Using Hierarchical Neural Networks. 1249-1254 - Wolfgang Stürzl, Ulrich Hoffmann, Hanspeter A. Mallot:
Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation. 1255-1260 - Niklas Lüdtke, Richard C. Wilson, Edwin R. Hancock:
Population Coding of Multiple Edge Orientation. 1261-1267 - Cyrill Planta, Jörg Conradt, Adrian Jencik, Paul F. M. J. Verschure:
A Neural Model of the Fly Visual System Applied to Navigational Tasks. 1268-1274 - Masao Shimomura, Shunji Satoh, Shogo Miyake, Hirotomo Aso:
A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention. 1275-1280 - Anna Ceguerra, Irena Koprinska:
Automatic Fingerprint Verification Using Neural Networks. 1281-1286 - Shutao Li, James T. Kwok, Yaonan Wang:
Fusing Images with Multiple Focuses Using Support Vector Machines. 1287-1292 - Arne Heittmann, Ulrich Ramacher, Daniel Matolin, Jörg Schreiter, René Schüffny:
An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights. 1293-1298 - Christophe Foucher, Daniel Le Guennec, Gilles Vaucher:
Kohonen Maps Applied to Fast Image Vector Quantization. 1299-1304 - Giuseppe Acciani, Ernesto Chiarantoni, Daniela Girimonte, Cataldo Guaragnella:
Unsupervised - Neural Network Approach for Efficient Video Description. 1305-1311 - Klimis S. Ntalianis, Nikolaos D. Doulamis, Anastasios D. Doulamis, Stefanos D. Kollias:
Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences. 1312-1318 - Sven Behnke:
Learning Face Localization Using Hierarchical Recurrent Networks. 1319-1324 - Ian R. Fasel, Javier R. Movellan:
A Comparison of Face Detection Algorithms. 1325-1332
Special Session: Adaptivity in Neural Computation
- Andrea Boni:
Adaptive Model Selection for Digital Linear Classifiers. 1333-1338 - Vicente Ruiz de Angulo, Carme Torras:
Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization. 1339-1344 - Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
Automatic Hyperparameter Tuning for Support Vector Machines. 1345-1350 - Nicol N. Schraudolph, Thore Graepel:
Conjugate Directions for Stochastic Gradient Descent. 1351-1358
Special Session: Recurrent Neural Systems
- Peter Tiño, Barbara Hammer:
Architectural Bias in Recurrent Neural Networks - Fractal Analysis. 1359-1364 - Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods. 1365-1370 - Ricardo Riaza, Pedro J. Zufiria:
Time-Scaling in Recurrent Neural Learning. 1371-1376
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