Artificial Neural Networks and Machine Learning -- Icann 2013

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 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.- 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 Sample 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 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 Distan