21. ICANN 2011: Espoo, Finland

• Marcel van Gerven, Eric Maris, Tom Heskes:
  A Markov Random Field Approach to Neural Encoding and Decoding. 1-8
  
• Nicolas Heess, Nicolas Le Roux, John M. Winn:
  Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs. 9-16
  
• Andrey Eliseyev, Alim-Louis Benabid, Tatyana I. Aksenova:
  Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System. 17-24
  
• Iakov M. Karandashev, Boris V. Kryzhanovsky:
  Transformation of Edge Weights in a Graph Bipartitioning Problem. 25-31
  
• Mohamed Oubbati, Josef Frick, Günther Palm:
  A Distributed Behavioral Model Using Neural Fields. 32-39
  
• Karim El-Laithy, Martin Bogdan:
  A Hypothetical Free Synaptic Energy Function and Related States of Synchrony. 40-47
  
• Emmanouil Hourdakis, Panos E. Trahanias:
  Observational Learning Based on Models of Overlapping Pathways. 48-55
  
• Karim El-Laithy, Martin Bogdan:
  On the Capacity of Transient Internal States in Liquid-State Machines. 56-63
  
• Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
  Hybrid Parallel Classifiers for Semantic Subspace Learning. 64-70
  
• Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczorek:
  Temperature Prediction in Electric Arc Furnace with Neural Network Tree. 71-78
  
• Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas:
  Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization. 79-86
  
• Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot:
  SOS-HMM: Self-Organizing Structure of Hidden Markov Model. 87-94
  
• Paméla Daum, Jean-Luc Buessler, Jean-Philippe Urban:
  Image Receptive Fields Neural Networks for Object Recognition. 95-102
  
• Thiago M. Pinto, Roseli S. Wedemann, Célia Cortez:
  A Comparison of the Electric Potential through the Membranes of Ganglion Neurons and Neuroblastoma Cells. 103-110
  
• Ingrid Brænne, Jeanette Erdmann, Amir Madany Mamlouk:
  SNPboost: Interaction Analysis and Risk Prediction on GWA Data. 111-118
  
• Vladimir Kryzhanovskiy:
  Binary Patterns Identification by Vector Neural Network with Measure of Proximity between Neuron States. 119-126
  
• Andreea Lazar, Gordon Pipa, Jochen Triesch:
  Emerging Bayesian Priors in a Self-Organizing Recurrent Network. 127-134
  
• Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
  Momentum Acceleration of Least-Squares Support Vector Machines. 135-142
  
• Shigeo Abe:
  Fast Support Vector Training by Newton's Method. 143-150
  
• Simo Särkkä:
  Linear Operators and Stochastic Partial Differential Equations in Gaussian Process Regression. 151-158
  
• Perry Groot, Adriana Birlutiu, Tom Heskes:
  Learning from Multiple Annotators with Gaussian Processes. 159-164
  
• Omar Ayad, Moamar Sayed Mouchaweh, Patrice Billaudel:
  Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System. 165-172
  
• Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
  A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks. 173-180
  
• Erik Schaffernicht, Horst-Michael Gross:
  Weighted Mutual Information for Feature Selection. 181-188
  
• Jukka-Pekka Kauppi, Heikki Huttunen, Heikki Korkala, Iiro P. Jääskeläinen, Mikko Sams, Jussi Tohka:
  Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection. 189-196
  
• Hiroshi Dozono, Shinsuke Ito, Masanori Nakakuni:
  The Authentication System for Multi-modal Behavior Biometrics Using Concurrent Pareto Learning SOM. 197-204
  
• Jouni Puuronen, Aapo Hyvärinen:
  Hermite Polynomials and Measures of Non-gaussianity. 205-212
  
• Valero Laparra, Michael Gutmann, Jesús Malo, Aapo Hyvärinen:
  Complex-Valued Independent Component Analysis of Natural Images. 213-220
  
• Hunor Jakab, Lehel Csató:
  Improving Gaussian Process Value Function Approximation in Policy Gradient Algorithms. 221-228
  
• Ngoc Chi Nam Doan, Kyoung Kwan Ahn, Dinh Quang Truong, Jong Il Yoon:
  Application of Nonlinear Neural Network Model for Self Sensing Characteristic in an Ionic Polymer Metal Composite (IPMC) Actuator. 229-236
  
• Takashi Mitsuishi, Yasunari Shidama:
  Optimal Control Using Functional Type SIRMs Fuzzy Reasoning Method. 237-244
  
• Saylisse Dávila, George C. Runger, Eugene Tuv:
  High-Dimensional Surveillance. 245-252
  
• Qingshan Liu, Jun Wang:
  A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application. 253-260
  
• Tibor Kmet:
  Neural Network Solution of Optimal Control Problem with Control and State Constraints. 261-268
  
• Yasuomi D. Sato, Kazuki Nakada, Kiyotoshi Matsuoka:
  Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena. 269-276
  
• Hiromichi Suetani, Shotaro Akaho:
  A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems -An Application to Chaos in a Dripping Faucet-. 277-284
  
• Ignacio Díaz Blanco, Abel A. Cuadrado Vega, Alberto B. Diez, Manuel Domínguez-González:
  Manifold Learning for Visualization of Vibrational States of a Rotating Machine. 285-292
  
• Houtao Deng, George C. Runger, Eugene Tuv:
  Bias of Importance Measures for Multi-valued Attributes and Solutions. 293-300
  
• Hideitsu Hino, Noboru Murata:
  A Computationally Efficient Information Estimator for Weighted Data. 301-308
  
• Jan Chorowski, Jacek M. Zurada:
  Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks. 309-316
  
• David Bouchain, Florian Hauser, Günther Palm:
  A Framework for Application-Oriented Design of Large-Scale Neural Networks. 317-324
  
• Flora Ferreira, Wolfram Erlhagen, Estela Bicho:
  A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events. 325-332
  
• Junpei Zhong, Cornelius Weber, Stefan Wermter:
  Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model. 333-340
  
• Martin Takác, Lubica Benusková, Alistair Knott:
  A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures. 341-348
  
• Marc Kammer, Marko Tscherepanow, Thomas Schack, Yukie Nagai:
  A Perceptual Memory System for Affordance Learning in Humanoid Robots. 349-356
  
• Antti Ajanki, Samuel Kaski:
  Probabilistic Proactive Timeline Browser. 357-364
  
• Wenjie Yan, Cornelius Weber, Stefan Wermter:
  Person Tracking Based on a Hybrid Neural Probabilistic Model. 365-372
  
• He Zhang, Teemu Ruokolainen, Jorma Laaksonen, Christina Hochleitner, Rudolf Traunmüller:
  Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging. 373-380
  
• Jaakko Talonen, Miki Sirola:
  Modelling Hypothetical Wage Equation by Neural Networks. 381-388
  
• M. Domínguez-Morales, Angel Jiménez-Fernandez, E. Cerezuela-Escudero, Rafael Paz-Vicente, Alejandro Linares-Barranco, G. Jimenez:
  On the Designing of Spikes Band-Pass Filters for FPGA. 389-396
  
• Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank C. Meinecke:
  An Information Geometrical View of Stationary Subspace Analysis. 397-404
  
• Konsta Sirvio, Jaakko Hollmén:
  Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks. 405-412
  
• Dusan Sovilj:
  Multistart Strategy Using Delta Test for Variable Selection. 413-420
  
• Patrick J. C. May, Hannu Tiitinen:
  Speech Recognition Based on the Processing Solutions of Auditory Cortex. 421-428
  
• Eduardo Ulises Moya-Sánchez, Eduardo Vázquez-Santacruz:
  A Geometric Bio-inspired Model for Recognition of Low-Level Structures. 429-436
  
• Marco Kortkamp, Sven Wachsmuth:
  View-Tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases. 437-445
  
• Leonardo Reis, Luis Aguiar, Darío Baptista, Fernando Morgado Dias:
  ANGE - Automatic Neural Generator. 446-453
  
• Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir:
  Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. 454-461
  
• Yutaka Maeda, Takahiro Yamada, Seiji Miyoshi, Hiroomi Hikawa:
  Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation. 462-469
  

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