Artificial Neural Networks – ICANN 2010 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Diamantaras, Konstantinos (Επιμελητής έκδοσης), Duch, Wlodek (Επιμελητής έκδοσης), Iliadis, Lazaros S. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Lecture Notes in Computer Science, 6354
• Θέματα: Computer science.; Computers.; Algorithms.; Database management.; Artificial intelligence.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computation by Abstract Devices.; Information Systems Applications (incl. Internet).; Algorithm Analysis and Problem Complexity.; Pattern Recognition.; Database Management.

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation wi...

Πίνακας περιεχομένων:

• Classification – Pattern Recognition
• Deep Bottleneck Classifiers in Supervised Dimension Reduction
• Local Modeling Classifier for Microarray Gene-Expression Data
• Learning of Lateral Connections for Representational Invariant Recognition
• Computational Properties of Probabilistic Neural Networks
• Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix
• A Learned Saliency Predictor for Dynamic Natural Scenes
• Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge
• A Bilinear Model for Consistent Topographic Representations
• Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
• Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
• Visual Shape Recognition Neural Network Using BESOM Model
• Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem
• The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition
• The Use of Feed Forward Neural Network for Recognizing Characters of Dactyl Alphabet
• Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier
• Classification Based on Multiple-Resolution Data View
• Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks
• Analyzing Classification Methods in Multi-label Tasks
• Learning Bimanual Coordination Patterns for Rhythmic Movements
• Classification of Voice Aging Using Parameters Extracted from the Glottal Signal
• Learning Algorithms and Systems
• TopoART: A Topology Learning Hierarchical ART Network
• Policy Gradients for Cryptanalysis
• Linear Projection Method Based on Information Theoretic Learning
• Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas
• An Efficient Collaborative Recommender System Based on k-Separability
• Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
• Multitask Semi–supervised Learning with Constraints and Constraint Exceptions
• Tumble Tree – Reducing Complexity of the Growing Cells Approach
• Sentence Extraction by Graph Neural Networks
• Autonomous Generation of Internal Representations for Associative Learning
• Improving Accuracy of LVQ Algorithm by Instance Weighting
• Multifactor Expectation Maximization for Factor Graphs
• Weighted Learning Vector Quantization to Cost-Sensitive Learning
• Solution Space of Perceptron
• Natural Language Processing Neural Network for Recall and Inference
• Nominally Conditioned Linear Regression
• A Novel Continuous Dual Mode Neural Network in Stereo-Matching Process
• Learning Invariant Visual Shape Representations from Physics
• Algorithms Creating Algorithms
• Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap
• Learning with Convex Constraints
• Theoretical Analysis of Cross-Validation(CV)-EM Algorithm
• Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm
• Dynamic Shape Learning and Forgetting
• On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin
• Model of the Hippocampal Learning of Spatio-temporal Sequences
• Adding Nonlinear System Dynamics to Levenberg-Marquardt Algorithm for Neural Network Control
• Computational Intelligence
• Some Comparisons of Model Complexity in Linear and Neural-Network Approximation
• A Funny Proverb Generation System Based on Sukashi
• Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth
• A Graph Based Framework for Clustering and Characterization of SOM
• Clustering Using Elements of Information Theory
• A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction
• Three-Layer Feedforward Structures Smoothly Approximating Polynomial Functions
• Neural Networks Training for Weapon Selection in First-Person Shooter Games
• Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data
• Large Scale Problem Solving with Neural Networks: The Netflix Prize Case
• A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering
• A Inference Mechanism for Polymer Processing Using Rough-Neuro Fuzzy Network
• IEM3 Workshop
• Data Mining Methods for Quality Assurance in an Environmental Monitoring Network
• Predicting QoL Parameters for the Atmospheric Environment in Athens, Greece
• Investigating Pollen Data with the Aid of Fuzzy Methods
• A New Neural Model for Traffic Simulation
• System Architecture for a Smart University Building
• Monitoring and Assessment of Environmental Impact by Persistent Organic Pollutants
• A Feature Selection Method for Air Quality Forecasting
• CVA Workshop
• How Do Attention, Intention, and Consciousness Interact?
• Consciousness versus Attention
• On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions
• No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance
• Modelling Neurotic Psychopathology: Memory, Attention and Symbolization
• SOINN Workshop
• How to Use the SOINN Software: User’s Guide (Version 1.0)
• Unguided Robot Navigation Using Continuous Action Space
• Self-Organizing Incremental Neural Network and Its Application
• Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network
• Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots
• Incremental Learning Using Self-Organizing Neural Grove
• Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes.