Artificial Neural Networks - ICANN 2009

Relevance Vector Machine for Feature Selection
- Acquiring and Classifying Signals from Nanopores and Ion-Channels
- Hand-Drawn Shape Recognition Using the SVM'ed Kernel
- Selective Attention Improves Learning
- Signal and Time Series Processing
- Multi-stage Algorithm Based on Neural Network Committee for Prediction and Search for Precursors in Multi-dimensional Time Series
- Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
- Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering
- Transformation from Complex Networks to Time Series Using Classical Multidimensional Scaling
- Predicting the Occupancy of the HF Amateur Service with Neural Network Ensembles
- An Associated-Memory-Based Stock Price Predictor
- A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data
- Decomposition Methods for Detailed Analysis of Content in ERP Recordings
- Outlier Analysis in BP/RP Spectral Bands
- ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty
- Comparison of Adaptive Algorithms for Significant Feature Selection in Neural Network Based Solution of the Inverse Problem of Electrical Prospecting
- Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error
- Applications
- Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis
- Speech Hashing Algorithm Based on Short-Time Stability
- A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis
- LS Footwear Database - Evaluating Automated Footwear Pattern Analysis
- Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips
- Connectionist Models for Formal Knowledge Adaptation
- Modeling Human Operator Controlling Process in Different Environments
- Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier
- Mental Tasks Classification for a Noninvasive BCI Application
- Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters
- A Comparison of Three Methods with Implicit Features for Automatic Identification of P300s in a BCI
- Neural Dynamics and Complex Systems
- Computing with Probabilistic Cellular Automata
- Delay-Induced Hopf Bifurcation and Periodic Solution in a BAM Network with Two Delays
- Response Properties to Inputs of Memory Pattern Fragments in Three Types of Chaotic Neural Network Models
- Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks
- The Lin-Kernighan Algorithm Driven by Chaotic Neurodynamics for Large Scale Traveling Salesman Problems
- Quadratic Assignment Problems for Chaotic Neural Networks with Dynamical Noise
- Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics
- Approximation Capability of Continuous Time Recurrent Neural Networks for Non-autonomous Dynamical Systems
- Spectra of the Spike Flow Graphs of Recurrent Neural Networks
- Activation Dynamics in Excitable Maps: Limits to Communication Can Facilitate the Spread of Activity
- Vision and Image Processing
- Learning Features by Contrasting Natural Images with Noise
- Feature Selection for Neural-Network Based No-Reference Video Quality Assessment
- Learning from Examples to Generalize over Pose and Illumination
- Semi-supervised Learning with Constraints for Multi-view Object Recognition
- Large-Scale Real-Time Object Identification Based on Analytic Features
- Estimation Method of Motion Fields from Images by Model Inclusive Learning of Neural Networks
- Hybrid Neural Systems for Reduced-Reference Image Quality Assessment
- Representing Images with ? 2 Distance Based Histograms of SIFT Descriptors
- Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval
- Adaptable Neural Networks for Objects' Tracking Re-initialization
- Lattice Independent Component Analysis for fMRI Analysis
- Adaptive Feature Transformation for Image Data from Non-stationary Processes
- Bio-inspired Connectionist Architecture for Visual Detection and Refinement of Shapes
- Neuro-Evolution and Hybrid Techniques for Mobile Agents Control
- Evolving Memory Cell Structures for Sequence Learning
- Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
- Combining Multiple Inputs in HyperNEAT Mobile Agent Controller
- Evolving Spiking Neural Parameters for Behavioral Sequences
- Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks
- Neural Control, Planning and Robotics Applications
- Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF
- An Adaptive NN Controller with Second Order SMC-Based NN Weight Update Law for Asymptotic Tracking
- Optimizing Control by Robustly Feasible Model Predictive Control and Application to Drinking Water Distribution Systems
- Distributed Control over Networks Using Smoothing Techniques
- Trajectory Tracking of a Nonholonomic Mobile Robot Considering the Actuator Dynamics: Design of a Neural Dynamic Controller Based on Sliding Mode Theory
- Tracking with Multiple Prediction Models
- Sliding Mode Control for Trajectory Tracking Problem - Performance Evaluation
- Bilinear Adaptive Parameter Estimation in Fuzzy Cognitive Networks
- Intelligent Tools and Methods for Multimedia Annotation
- AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery
- Unsupervised Clustering of Clickthrough Data for Automatic Annotation of Multimedia Content
- Object Classification Using the MPEG-7 Visual Descriptors: An Experimental Evaluation Using State of the Art Data Classifiers
- MuLVAT: A Video Annotation Tool Based on XML-Dictionaries and Shot Clustering
- Multimodal Sparse Features for Object Detection
- Critical Infrastructure Systems
- Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields
- Contributor Diagnostics for Anomaly Detection
- Indoor Localization Using Neural Networks with Location Fingerprints
- Distributed Faulty Sensor Detection in Sensor Networks
- Detection of Failures in Civil Structures Using Artificial Neural Networks
- Congestion Control in Autonomous Decentralized Networks Based on the Lotka-Volterra Competition Model