Mladenov V., Koprinkova-Hristova P., Palm G., Villa A.E.P., Appollini B., Kasabov N. (eds.) Artificial Neural Networks and Machine Learning, ICANN 2013

Springer, 2013. — 660 p.23rd International Conference on Artificial Neural Networks. Sofia, Bulgaria, September 10-13, 2013 Proceedings.
These proceedings comprise all accepted papers presented during the International Conference on Artificial Neural Networks (ICANN) 2013. The conference is the annual event of the European Neural Network Society (ENNS) that covers all topics in the area of neural networks and their applications. Its scope is wide, ranging from machine learning algorithms to models of real nervous systems. The main goal of the conference is to bring together and to facilitate contacts between researchers from information sciences and neurosciences and to provide a high-level international forum for both the academic and the industrial communities. The conference aims to address new challenges, share solutions, and discuss future research directions in understanding neural and cognitive processes in the brain and in the development of novel artificial neural networks, learning systems, computational intelligence, and real-world intelligent artificial system applications.Neural Network Theory and Models
Hessian Corrected Input Noise Models
Model-Based Clustering of Temporal Data
Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data
An Analytical Approach to Single Node Delay-Coupled Reservoir Computing
Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification
Two-Layer Vector Perceptron
Local Detection of Communities by Neural-Network Dynamics
The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks
Group Fused Lasso
Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays
Variational Foundations of Online Backpropagation
GNMF with Newton-Based Methods
Improving the Associative Rule Chaining Architecture
Machine Learning and Learning Algorithms
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines
A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets
A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory
Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE
Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions
Learning with Hard Constraints
Bidirectional Activation-based Neural Network Learning Algorithm
A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition
Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning
Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain
On–Line Laplacian One–Class Support Vector Machines
OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection
Brain-Machine Interaction and Bio-inspired Systems
EEG Dataset Reduction and Classification Using Wave Atom Transform
Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network
Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI)
A Biologically Inspired Model for the Detection of External and Internal Head Motions
Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation
Learning Sensorimotor Transformations with Dynamic Neural Fields
Cognitive Sciences and Neuroscience
Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity
Memory Trace in Spiking Neural Networks
Attention-Gated Reinforcement Learning in Neural Networks—A Unified View
Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones
Robust Principal Component Analysis for Brain Imaging
Phase Control of Coupled Neuron Oscillators
Dendritic Computations in a Rall Model with Strong Distal Stimulation
Modeling Action Verb Semantics Using Motion Tracking
Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping
Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4
Pattern Recognition and Classification
Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging
Echo State Networks in Dynamic Data Clustering
Self-Organization in Parallel Coordinates
A General Image Representation Scheme and Its Improvement for Image Analysis
Learning Features for Activity Recognition with Shift-Invariant Sparse Coding
Hearing Aid Classification Based on Audiology Data
BLSTM-RNN Based 3D Gesture Classification
Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data
A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification
Exploration of Loneliness Questionnaires Using the Self-Organising Map
An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS
Feature Weighting by Maximum Distance Minimization
Training Computationally Efficient Smartphone–Based Human Activity Recognition Models
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers
Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception
Neural Network Applications in Control and Robotics
Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks
Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control
Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System
A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: cedar
Adaptive Critic Neural Network Solution of Optimal Control Problems with Discrete Time Delays
Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks
Neuro-Optimal Controller for Robot Manipulators
Learning to Walk Using a Recurrent Neural Network with Time Delay
The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design
Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model
Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning -Beer Game as an Example-
Other Applications of Neural Networks
Using Exponential Kernel for Word Sense Disambiguation
Independent Component Analysis Filtration for Value at Risk Modelling
Wind Power Resource Estimation with Deep Neural Networks
Wavelet Neural Networks for Electricity Load Forecasting – Dealing with Border Distortion and Shift Invariance
Interactive Two-Level WEBSOM for Organizational Exploration
Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method
An Echo State Network with Working Memories for Probabilistic Language Modeling
Using the Analytic Feature Framework for the Detection of Occluded Objects
Boltzmann Machines for Image Denoising
Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval
Vehicle Plate Recognition Using Improved Neocognitron Neural Network