Artificial Neural Networks and Machine Learning -- ICANN 2013 : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov.

Format:

Book

Contributor:

Mladenov, Valeri, editor.

Koprinkova-Hristova, Petia, editor.

Palm, Günther, editor.

Villa, Alessandro, editor.

Apolloni, Bruno, 1946- editor.

Kasabov, Nikola K., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 8131.

Theoretical Computer Science and General Issues ; 8131

Language:

English

Subjects (All):

Artificial intelligence.

Computers.

Algorithms.

Pattern perception.

Application software.

Optical data processing.

Artificial Intelligence.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Pattern Recognition.

Information Systems Applications (incl. Internet).

Image Processing and Computer Vision.

Local Subjects:

Artificial Intelligence.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Pattern Recognition.

Information Systems Applications (incl. Internet).

Image Processing and Computer Vision.

Physical Description:

1 online resource (XVIII, 643 pages) : 231 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics:neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

Contents:

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 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 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.

Other Format:

Printed edition:

ISBN:

978-3-642-40728-4

9783642407284

Access Restriction:

Restricted for use by site license.