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21. ICANN 2011: Espoo, Finland
- Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski:

Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6792, Springer 2011, ISBN 978-3-642-21737-1 - 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

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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 Suzi 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 Kryzhanovsky:

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

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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

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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

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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 Alberto 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 J. 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 - Manuel Domínguez-Morales

, Angel Jiménez-Fernandez, Elena Cerezuela-Escudero
, Rafael Paz-Vicente
, Alejandro Linares-Barranco
, Gabriel Jiménez:
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

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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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