Front matter
137
A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data
Gustavo Deco and Edmund Rolls
136
A Neural Model of Spatio Temporal Coordination in Prehension
Javier Molina-Vilaplana, Jorge Feliu Batlle and Juan López Coronado
135
Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback
Andreas Thiel, Christian W. Eurich and Helmut Schwegler
788
Learning Multiple Feature Representations from Natural Image Sequences
Wolfgang Einhäuser, Christoph Kayser, Konrad P. Körding and Peter König
81
Analysis of Biologically Inspired Small-World Networks
Carlos Aguirre, Ramón Huerta, Fernando Corbacho and Pedro Pascual
793
Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video
Jarmo Hurri and Aapo Hyvärinen
139
Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks
Maria Marinaro and Silvia Scarpetta
81
Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse
Bruce Graham
134
Storage Capacity of Kernel Associative Memories
B. Caputo and H. Niemann
139
Macrocolumns as Decision Units
Jörg Lücke, Christoph von der Malsburg and Rolf P. Würtz
133
Nonlinear Analysis of Simple Cell Tuning in Visual Cortex
Thomas Wennekers
82
Clustering within Integrate-and-Fire Neurons for Image Segmentation
Phill Rowcliffe, Jianfeng Feng and Hilary Buxton
135
Symmetry Detection Using Global-Locally Coupled Maps
Rogério de Oliveira and Luiz Henrique Alves Monteiro
133
Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties
Pietro Berkes and Laurenz Wiskott
798
Combining Multimodal Sensory Input for Spatial Learning
Thomas Strösslin, Christophe Krebser, Angelo Arleo and Wulfram Gerstner
139
A Neural Network Model Generating Invariance for Visual Distance
Rüdiger Kupper and Reinhard Eckhorn
797
Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG
Ilya A. Rybak, Dmitry G. Ivashko, Boris I. Prilutsky, M. Anthony Lewis and John K. Chapin
82
Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques
Angel Nevado, Malcolm P. Young and Stefano Panzeri
81
Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays
Maurizio Mattia and Paolo Del Giudice
138
Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons
Nhamo Mtetwa, Leslie S. Smith and Amir Hussain
133
Reducing Communication for Distributed Learning in Neural Networks
Peter Auer, Harald Burgsteiner and Wolfgang Maass
797
Flow Diagrams of the Quadratic Neural Network
David R. C. Dominguez, E. Korutcheva, W. K. Theumann and R. Erichsen
81
Dynamics of a Plastic Cortical Network
Gianluigi Mongillo and Daniel J. Amit
141
Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron
Michele Giugliano, Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher and Stefano Fusi
139
Small-World Effects in Lattice Stochastic Diffusion Search
Kris De Meyer, J. Mark Bishop and Slawomir J. Nasuto
82
A Direction Sensitive Network Based on a Biophysical Neurone Model
Burkhard Iske, Axel Löffler and Ulrich Rückert
81
Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis
Roberto Latorre, Francisco B. Rodríguez and Pablo Varona
796
Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis
Francisco B. Rodríguez, Roberto Latorre and Pablo Varona
789
Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory
J. M. Ferrández, M. Bongard, F. García de Quirós, J. A. Bolea and E. Fernández
143
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations
Giancarlo La Camera, Alexander Rauch, Walter Senn, Hans-R. Lüscher and Stefano Fusi
82
Does Morphology Influence Temporal Plasticity?
David C. Sterratt and Arjen van Ooyen
137
Attractor Neural Networks with Hypercolumns
Christopher Johansson, Anders Sandberg and Anders Lansner
143
Edge Detection and Motion Discrimination in the Cuneate Nucleus
Eduardo Sánchez, S. Barro and A. Canedo
144
Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks
Alessandro Usseglio Viretta, Stefano Fusi and Shih-Chii Liu
795
Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons
Darryl Charles, Jos Koetsier, Donald MacDonald and Colin Fyfe
142
A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform
Francisco García-Córdova, Javier Molina-Vilaplana and Juan López-Coronado
136
Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input
Rubén Moreno and Néstor Parga
142
Iterative Population Decoding Based on Prior Beliefs
Jens R. Otterpohl and K. Pawelzik
137
When NMDA Receptor Conductances Increase Inter- spike Interval Variability
Giancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch and Hans-R. Lüscher
135
Spike- Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity
Stefano Fusi
794
A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy
Manuel Sánchez-Montañés, Luis F. Lago-Fernández, Nazareth P. Castellanos, Ángel Merchán-Pérez and Jon I. Arellano, et al.
137
On the Computational Power of Neural Microcircuit Models: Pointers to the Literature
Wolfgang Maass
141
Networking with Cognitive Packets
Erol Gelenbe, Ricardo Lent and Zhiguang Xu
133
Episodic Memory: A Connectionist Interpretation
J. G. Wallace and K. Bluff
134
Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach
Hervé Frezza-Buet
82
Associative Arithmetic with Boltzmann Machines: The Role of Number Representations
Ivilin Stoianov, Marco Zorzi, Suzanna Becker and Carlo Umilta
796
Learning the Long-Term Structure of the Blues
Douglas Eck and Jürgen Schmidhuber
138
Recursive Neural Networks Applied to Discourse Representation Theory
Antonella Bua, Marco Gori and Fabrizio Santini
135
Recurrent Neural Learning for Helpdesk Call Routing
Sheila Garfield and Stefan Wermter
134
An Approach to Encode Multilayer Perceptrons
Jerzy Korczak and Emmanuel Blindauer
135
Dynamic Knowledge Representation in Connectionist Systems
J. Mark Bishop, Slawomir J. Nasuto and Kris De Meyer
789
Generative Capacities of Cellular Automata Codification for Evolution of NN Codification
Germán Gutiérrez, Inés M. Galván, José M. Molina and Araceli Sanchis
82
Entropic Measures with Radial Basis Units
J. David Buldain
793
New Methods for Splice Site Recognition
Sören Sonnenburg, Gunnar Rätsch, Arun Jagota and Klaus-Robert Müller
81
A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks
Yoshifusa Ito
136
Identification of Wiener Model Using Radial Basis Functions Neural Networks
Ali Syed Saad Azhar and Hussain N. Al-Duwaish
82
A New Learning Algorithm for Mean Field Boltzmann Machines
Max Welling and Geoffrey E. Hinton
134
A Continuous Restricted Boltzmann Machine with a Hardware- Amenable Learning Algorithm
Hsin Chen and Alan Murray
797
Human Recognition by Gait Analysis Using Neural Networks
J. Elías Herrero-Jaraba, Carlos Orrite-Uruñuela, David Buldain and Armando Roy-Yarza
82
Learning Vector Quantization for Multimodal Data
B. Hammer, M. Strickert and T. Villmann
789
Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities
Mirosław Galicki, Lutz Leistritz and Herbert Witte
135
Model Clustering for Neural Network Ensembles
Bart Bakker and Tom Heskes
798
Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms?
José Luis Fernández-Villacañas Martín and Mónica Sierra Sánchez
135
Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network
Jesús Manuel Besada-Juez and Miguel A. Sanz-Bobi
81
A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data
Andreas A. Albrecht, Staal A. Vinterbo, C. K. Wong and Lucila Ohno-Machado
796
Neural Minimax Classifiers
Rocío Alaiz-Rodríguez and Jesús Cid-Sueiro
139
Sampling Parameters to Estimate a Mixture Distribution with Unknown Size
Martin Lauer
81-82
Selecting Neural Networks for Making a Committee Decision
Antanas Verikas, Arunas Lipnickas and Kerstin Malmqvist
142
High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning
Patrice Fleury, Alan F. Murray and Martin Reekie
136
Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling
Sebastian Weng and Jochen J. Steil
82
A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-fuzzy System for Online Handwriting Recognition
Miguel L. Bote-Lorenzo, Yannis A. Dimitriadis and Eduardo Gómez-Sánchez
135
A New Learning Method for Piecewise Linear Regression
Giancarlo Ferrari-Trecate and Marco Muselli
82
Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems
Thore Graepel and Nicol N. Schraudolph
82
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems
Deniz Erdogmus, Jose C. Principe, Luis Vielva and David Luengo
82
Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network
Víctor M. Preciado
793
MDL Based Model Selection for Relevance Vector Regression
Davide Anguita and Matteo Gagliolo
140
On the Training of a Kolmogorov Network
Mario Köppen
796
A New Method of Feature Extraction and Its Stability
Nojun Kwak and Chong-Ho Choi
796
Visualization and Analysis of Web Navigation Data
Khalid Benabdeslem, Younes Bennani and Eric Janvier
797
Missing Value Estimation Using Mixture of PCAs
Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden and Ken-ichi Matsubara, et al.
135-136
High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas
Jakob Svensson, Manfred von Hellermann and Ralf König
140
Heterogeneous Forests of Decision Trees
Krzysztof Grąbczewski and Włodzisław Duch
81
Independent Component Analysis for Domain Independent Watermarking
Stéphane Bounkong, David Saad and David Lowe
143-144
Applying Machine Learning to Solve an Estimation Problem in Software Inspections
Thomas Ragg, Frank Padberg and Ralf Schoknecht
796
Clustering of Gene Expression Data by Mixture of PCA Models
Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba and Naotake Ogawsawara, et al.
788
Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces
Masashi Sugiyama and Klaus-Robert Müller
134
A New Sequential Algorithm for Regression Problems by Using Mixture Distribution
Takafumi Kanamori
136
Neural-Based Classification of Blocks from Documents
Damián López and María José Castro
144
Feature Selection via Genetic Optimization
Sancho Salcedo-Sanz, Mario Prado-Cumplido, Fernando Pérez-Cruz and Carlos Bousoño-Calzón
792
Neural Networks, Clustering Techniques, and Function Approximation Problems
Jesús González, Ignacio Rojas and Héctor Pomares
136
Evolutionary Training of Neuro-fuzzy Patches for Function Approximation
Jésus González, Ignacio Rojas, Hector Pomares, Alberto Prieto and K. Goser
141
Using Recurrent Neural Networks for Automatic Chromosome Classification
César Martínez, Alfons Juan and Francisco Casacuberta
789
A Mixed Ensemble Approach for the Semi-supervised Problem
Evgenia Dimitriadou, Andreas Weingessel and Kurt Hornik
792
Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes
Alvaro Mateos, Javier Herrero and Joaquín Dopazo
136
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error
Gerald Gavin and Olivier Teytaud
796
SSA, SVD, QR-cp, and RBF Model Reduction
Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto and Ignacio Rojas
83
Linkage Analysis: A Bayesian Approach
Martijn A. R. Leisink, Hilbert J. Kappen and Han G. Brunner
138
On Linear Separability of Sequences and Structures
Alessandro Sperduti
137
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data
Volker Roth, Mikio L. Braun, Tilman Lange and Joachim M. Buhmann
138
EM-Based Radial Basis Function Training with Partial Information
Pedro J. Zufiria and Carlos Rivero
137
Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters
Matteo Giudici, Filippo Queirolo and Maurizio Valle
82
Input and Output Feature Selection
Alejandro Sierra and Fernando Corbacho
134
Optimal Extraction of Hidden Causes
Luis F. Lago-Fernández and Fernando Corbacho
141
Towards a New Information Processing Measure for Neural Computation
Manuel A. Sánchez-Montañés and Fernando J. Corbacho
797
A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System
Magnus Stensmo
137
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
Donald MacDonald, Emilio Corchado, Colin Fyfe and Erzsebet Merenyi
792
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters
Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck and Jürgen Schmidhuber
137
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference
Junichiro Yoshimoto, Shin Ishii and Masa-aki Sato
136
Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach
Brieuc Conan-Guez and Fabrice Rossi
134
Natural Gradient and Multiclass NLDA Networks
José R. Dorronsoro and Ana González
792
A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines
Gavin C. Cawley and Nicola L. C. Talbot
82
Selection of Meta-parameters for Support Vector Regression
Vladimir Cherkassky and Yunqian Ma
141-142
Kernel Matrix Completion by Semidefinite Programming
Thore Graepel
134-135
Incremental Sparse Kernel Machine
Masa-aki Sato and Shigeyuki Oba
82
Frame Kernels for Learning
Alain Rakotomamonjy and Stéphane Canu
135
Robust Cross-Validation Score Function for Non-linear Function Estimation
Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens and Joos Vandewalle
139
Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models
Bart Hamers, Johan A. K. Suykens. and Bart De Moor
142
The Leave-One-Out Kernel
Koji Tsuda and Motoaki Kawanabe
138
Support Vector Representation of Multi-categorical Data
Silvio Borer and Wulfram Gerstner
789
Robust De-noising by Kernel PCA
Takashi Takahashi and Takio Kurita
138
Maximum Contrast Classifiers
P. Meinicke, T. Twellmann and H. Ritter
796
Puncturing Multi-class Support Vector Machines
Fernando Pérez-Cruz and Antonio Artés-Rodríguez
796
Multi-dimensional Function Approximation and Regression Estimation
Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo and Aníbal R. Figueiras-Vidal, et al.
82
Detecting the Number of Clusters Using a Support Vector Machine Approach
Javier M. Moguerza, Alberto Muñoz and Manuel Martín-Merino
82
Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling
George Siolas and Florence d’Alché-Buc
795
Reinforcement Learning for Biped Locomotion
Masa-aki Sato, Yutaka Nakamura and Shin Ishii
142
Dynamical Neural Schmitt Trigger for Robot Control
Martin Hülse and Frank Pasemann
135
Evolutionary Artificial Neural Networks for Quadruped Locomotion
David McMinn, Grant Maxwell and Christopher MacLeod
792
Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance
Jörg Conradt, Pascal Simon, Michel Pescatore and Paul F. M. J. Verschure
83
A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems
Randa Herzallah and David Lowe
136-137
Tool Wear Prediction in Milling Using Neural Networks
Rodolfo E. Haber, A. Alique and J. R. Alique
137
Speeding-up Reinforcement Learning with Multi-step Actions
Ralf Schoknecht and Martin Riedmiller
135
Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification
Branimir Todorović, Miomir Stanković and Claudio Moraga
140
Integration of Metric Place Relations in a Landmark Graph
Wolfgang Hübner and Hanspeter A. Mallot
135
Hierarchical Object Classification for Autonomous Mobile Robots
Steffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard Kraetzschmar and Günther Palm
790-792
Self Pruning Gaussian Synapse Networks for Behavior Based Robots
J. A. Becerra, R. J. Duro and J. Santos
789-790
Second-Order Conditioning in Mobile Robots
Samuel Benzaquen and Carolina Chang
83
An Optimal Sensor Morphology Improves Adaptability of Neural Network Controllers
Lukas Lichtensteiger and Rolf Pfeifer
134
Learning Inverse Kinematics via Cross-Point Function Decomposition
V. Ruiz de Angulo and C. Torras
142
The Principal Components Analysis Self-Organizing Map
Ezequiel López-Rubio, José Muñoz-Pérez and José Antonio Gómez-Ruiz
81
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
Elias Pampalk, Andreas Rauber and Dieter Merkl
133
Rule Extraction from Self-Organizing Networks
Barbara Hammer, Andreas Rechtien, Marc Strickert and Thomas Villmann
139
Predictive Self-Organizing Map for Vector Quantization of Migratory Signals
Akira Hirose and Tomoyuki Nagashima
793-794
Categorical Topological Map
Mustapha Lebbah, Christian Chabanon, Fouad Badran and Sylvie Thiria
133-134
Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites
Christo Panchev, Stefan Wermter and Huixin Chen
140
Parametrized SOMs for Object Recognition and Pose Estimation
Axel Saalbach, Gunther Heidemann and Helge Ritter
82
An Effective Traveling Salesman Problem Solver Based on Self-Organizing Map
Alessio Plebe
140
Coordinating Principal Component Analyzers
Jakob J. Verbeek, Nikos Vlassis and Ben Kröse
797
Lateral Interactions in Self-Organizing Maps
Roberto Viviani
795
Complexity Selection of the Self-Organizing Map
Anssi Lensu and Pasi Koikkalainen
141
Nonlinear Projection with the Isotop Method
John A. Lee and Michel Verleysen
792
Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map
Jens Christian Claussen and Heinz Georg Schuster
142
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks
Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique Castillo, Jose C. Principe and Bertha Guijarro-Berdiñas
134
Distance Matrix Based Clustering of the Self-Organizing Map
Juha Vesanto and Mika Sulkava
793
Mapping the Growing Neural Gas to Situation Calculus
Dimitrios Vogiatzis and Andreas Stafylopatis
82
Robust Unsupervised Competitive Neural Network by Local Competitive Signals
Ernesto Chiarantoni, Giuseppe Acciani, Girolamo Fornarelli and Silvano Vergura
141
Goal Sequencing for Construction Agents in a Simulated Environment
Anand Panangadan and Michael G. Dyer
142
Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map
Guilherme A. de Barreto and Aluizio F. R. Araújo
137
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps
Markus Koskela, Jorma Laaksonen and Erkki Oja
794
A Pareto Self-Organizing Map
Andrew Hunter and Richard Lee Kennedy
139-140
A SOM Variant Based on the Wilcoxon Test for Document Organization and Retrieval
Apostolos Georgakis, Costas Kotropoulos and Ioannis Pitas
135
Learning More Accurate Metrics for Self-Organizing Maps
Jaakko Peltonen, Arto Klami and Samuel Kaski
134
Correlation Visualization of High Dimensional Data Using Topographic Maps
Ignacio Díaz Blanco, Abel A. Cuadrado Vega and Alberto B. Diez González
789
Continuous Unsupervised Sleep Staging Based on a Single EEG Signal
Arthur Flexer, Georg Gruber and Georg Dorffner
797-798
Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management
Kai Chun Chiu and Lei Xu
797
On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model
Zhiyong Liu and Lei Xu
137
Error Functions for Prediction of Episodes of Poor Air Quality
Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling and Danilo P. Mandic
141
Adaptive Importance Sampling Technique for Neural Detector Training
José L. Sanz-González and Francisco Álvarez-Vaquero
135
State Space Neural Networks for Freeway Travel Time Prediction
Hans van Lint, Serge P. Hoogendoorn and Henk J. van Zuylen
789
Overcomplete ICA with a Geometric Algorithm
Fabian J. Theis, Elmar W. Lang, Tobias Westenhuber and Carlos G. Puntonet
134
Improving Long- Term Online Prediction with Decoupled Extended Kalman Filters
Juan A. Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers and Douglas Eck
81
Market Modeling Based on Cognitive Agents
Georg Zimmermann, Ralph Grothmann, Christoph Tietz and Ralph Neuneier
142
An Efficiently Focusing Large Vocabulary Language Model
Mikko Kurimo and Krista Lagus
139
Neuro- classification of Bill Fatigue Levels Based on Acoustic Wavelet Components
Masaru Teranishi, Sigeru Omatu and Toshihisa Kosaka
136
Robust Estimator for the Learning Process in Neural Networks Applied in Time Series
Héctor Allende, Claudio Moraga and Rodrigo Salas
133
An Improved Cumulant Based Method for Independent Component Analysis
Tobias Blaschke and Laurenz Wiskott
795
Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration
Lars Kindermann, Achim Lewandowski and Peter Protzel
81
Support Vector Robust Algorithms for Non- parametric Spectral Analysis
José Luis Rojo- Álvarez, Arcadi García-Alberola, Manel Martínez-Ramón, Mariano Valdés and Aníbal R. Figueiras-Vidal, et al.
81
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido and Antonio Artés-Rodríguez
82
Dynamics of ICA for High- Dimensional Data
Gleb Basalyga and Magnus Rattray
135
Beyond Comon’s Identifiability Theorem for Independent Component Analysis
Riccardo Boscolo, Hong Pan and Vwani P. Roychowdhury
136
Temporal Processing of Brain Activity for the Recognition of EEG Patterns
Alexandre Hauser, Pierre-Edouard Sottas and José del R. Millán
138
Critical Assessment of Option Pricing Methods Using Artificial Neural Networks
Panayiotis Ch. Andreou, Chris Charalambous and Spiros H. Martzoukos
138
Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates
Benjamin Blankertz, Christin Schäfer, Guido Dornhege and Gabriel Curio
137
Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks
Pierre-Edouard Sottas and Wulfram Gerstner
798
Convolutional Neural Networks for Radar Detection
Gustavo López- Risueño, Jesús Grajal, Simon Haykin and Rosa Díaz-Oliver
136
A Simple Generative Model for Single-Trial EEG Classification
Jens Kohlmorgen and Benjamin Blankertz
144
Robust Blind Source Separation Utilizing Second and Fourth Order Statistics
Pando Georgiev and Andrzej Cichocki
789
Adaptive Differential Decorrelation: A Natural Gradient Algorithm
Seungjin Choi
793
An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services
Carmen Peláez-Moreno, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Adrián Zambrano-Miranda and Fernando Díaz-de-María
82
Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial Constraints
Jens R. Otterpohl
82
Mixtures of Autoregressive Models for Financial Risk Analysis
Alberto Suárez
144
Kernel-Based 3D Object Representation
Annalisa Barla and Francesca Odone
137
Multiresolution Support for Adaptive Image Restoration Using Neural Networks
Souheila Ghennam and Khier Benmahammed
138
Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons
Renaud Séguier and David Mercier
793
An Algorithm for Image Representation as Independent Levels of Resolution
Antonio Turiel, Jean-Pierre Nadal and Néstor Parga
140
Circular Back-Propagation Networks for Measuring Displayed Image Quality
Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx and Elena Vicario
137
Unsupervised Learning of Combination Features for Hierarchical Recognition Models
Heiko Wersing and Edgar Körner
138-139
Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration
Igor Aizenberg, Taras Bregin, Constantine Butakoff, Victor Karnaukhov and Nickolay Merzlyakov, et al.
133
Using Neural Field Dynamics in the Context of Attentional Control
Gerriet Backer and Bärbel Mertsching
140-141
A Component Association Architecture for Image Understanding
Jens Teichert and Rainer Malaka
140
Novelty Detection in Video Surveillance Using Hierarchical Neural Networks
Jonathan Owens, Andrew Hunter and Eric Fletcher
142-143
Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation
Wolfgang Stürzl, Ulrich Hoffmann and Hanspeter A. Mallot
789
Population Coding of Multiple Edge Orientation
Niklas Lüdtke, Richard C. Wilson and Edwin R. Hancock
144
A Neural Model of the Fly Visual System Applied to Navigational Tasks
Cyrill Planta, Jörg Conradt, Adrian Jencik and Paul Verschure
136
A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention
Masao Shimomura, Shunji Satoh, Shogo Miyake and Hirotomo Aso
136
Automatic Fingerprint Verification Using Neural Networks
Anna Ceguerra and Irena Koprinska
794
Fusing Images with Multiple Focuses Using Support Vector Machines
Shutao Li, James T. Kwok and Yaonan Wang
82
An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights
Arne Heittmann, Ulrich Ramacher, Daniel Matolin, Jörg Schreiter and Rene Schüffny
137
Kohonen Maps Applied to Fast Image Vector Quantization
Christophe Foucher, Daniel Le Guennec and Gilles Vaucher
788-789
Unsupervised - Neural Network Approach for Efficient Video Description
Giuseppe Acciani, Ernesto Chiarantoni, Daniela Girimonte and Cataldo Guaragnella
796
Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences
Klimis S. Ntalianis, Nikolaos D. Doulamis, Anastasios D. Doulamis and Stefanos D. Kollias
135
Learning Face Localization Using Hierarchical Recurrent Networks
Sven Behnke
143
A Comparison of Face Detection Algorithms
Ian R. Fasel and Javier R. Movellan
137
Adaptive Model Selection for Digital Linear Classifiers
Andrea Boni
140
Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization
Vicente Ruiz de Angulo and Carme Torras
83
Automatic Hyperparameter Tuning for Support Vector Machines
Davide Anguita, Sandro Ridella, Fabio Rivieccio and Rodolfo Zunino
798
Conjugate Directions for Stochastic Gradient Descent
Nicol N. Schraudolph and Thore Graepel
794-795
Architectural Bias in Recurrent Neural Networks — Fractal Analysis
Peter Tiňo and Barbara Hammer
794
Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods
Miguel A. Atencia, Gonzalo Joya and Francisco Sandoval
135
Time-Scaling in Recurrent Neural Learning
Ricardo Riaza and Pedro J. Zufiria
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