Artificial Neural Networks and Machine Learning - ICANN 2011

by Honkela, Timo; Duch, Wlodzislaw; Girolami, Mark; Kaski, Samuel

• ISBN13: 9783642217371
• ISBN10: 3642217370
• Format: Paperback
• Copyright: 2011-08-02
• Publisher: Springer-Verlag New York Inc

Summary

This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.

Table of Contents

A Markov Random Field Approach to Neural Encoding and Decoding	p. 1
Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs	p. 9
Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System	p. 17
Transformation of Edge Weights in a Graph Bipartitioning Problem	p. 25
A Distributed Behavioral Model Using Neural Fields	p. 32
A Hypothetical Free Synaptic Energy Function and Related States of Synchrony	p. 40
Observational Learning Based on Models of Overlapping Pathways	p. 48
On the Capacity of Transient Internal States in Liquid-State Machines	p. 56
Hybrid Parallel Classifiers for Semantic Subspace Learning	p. 64
Temperature Prediction in Electric Arc Furnace with Neural Network Tree	p. 71
Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization	p. 79
SOS-HMM: Self-Organizing Structure of Hidden Markov Model	p. 87
Image Receptive Fields Neural Networks for Object Recognition	p. 95
A Comparison of the Electric Potential through the Membranes of Ganglion Neurons and Neuroblastoma Cells	p. 103
SNPboost: Interaction Analysis and Risk Prediction on GWA Data	p. 111
Binary Patterns Identification by Vector Neural Network with Measure of Proximity between Neuron States	p. 119
Emerging Bayesian Priors in a Self-Organizing Recurrent Network	p. 127
Momentum Acceleration of Least-Squares Support Vector Machines	p. 135
Fast Support Vector Training by Newton's Method	p. 143
Linear Operators and Stochastic Partial Differential Equations in Gaussian Process Regression	p. 151
Learning from Multiple Annotators with Gaussian Processes	p. 159
Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System	p. 165
A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor / Actuator Networks	p. 173
Weighted Mutual Information for Feature Selection	p. 181
Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection	p. 189
The Authentication System for Multi-modal Behavior Biometrics Using Concurrent Pareto Learning SOM	p. 197
Hermite Polynomials and Measures of Non-gaussianity	p. 205
Complex-Valued Independent Component Analysis of Natural Images	p. 213
Improving Gaussian Process Value Function Approximation in Policy Gradient Algorithms	p. 221
Application of Nonlinear Neural Network Model for Self Sensing Characteristic in an Ionic Polymer Metal Composite (IPMC) Actuator	p. 229
Optimal Control Using Functional Type SIRMs Fuzzy Reasoning Method	p. 237
High-Dimensional Surveillance	p. 245
A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application	p. 253
Neural Network Solution of Optimal Control Problem with Control and State Constraints	p. 261
Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena	p. 269
A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems - An Application to Chaos in a Dripping Faucet-	p. 277
Manifold Learning for Visualization of Vibrational States of a Rotating Machine	p. 285
Bias of Importance Measures for Multi-valued Attributes and Solutions	p. 293
A Computationally Efficient Information Estimator for Weighted Data	p. 301
Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks	p. 309
A Framework for Application-Oriented Design of Large-Scale Neural Networks	p. 317
A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events	p. 325
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model	p. 333
A Sente e Generation Network That Learns Surface and Abstract Syntact Structures	p. 341
A Perceptual Memory System for Affordance Learning in Humanoid Robots	p. 349
Probabilistic Proactive Timeline Browser	p. 357
Person Tracking Based on a Hybrid Neural Probabilistic Model	p. 365
Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging	p. 373
Modelling Hypothetical Wage Equation by Neural Networks	p. 381
On the Designing of Spikes Band-Pass Filters for FPGA	p. 389
An Information Geometrical View of Stationary Subspace Analysis	p. 397
Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks	p. 405
Multistart Strategy Using Delta Test for Variable Selection	p. 413
Speech Recognition Based on the Processing Solutions of Auditory Cortex	p. 421
A Geometric Bio-inspired Model for Recognition of Low-Level Structures	p. 429
View-Tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases	p. 437
ANGE - Automatic Neural Generator	p. 446
Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning	p. 454
Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation	p. 462
Author Index	p. 471
Table of Contents provided by Ingram. All Rights Reserved.