International Conference on Frontiers of Neural Networks (ICFNN 2019)

Topics

• Vision and Auditory Modelling
  • Auditory Perception and Modeling
  • Audio and Speech Retrieval
  • Image Segmentation
  • Image Coding and Representation
  • Music Modeling and Analysis
  • Motion and Tracking
  • Object Recognition
  • Natural Scene Statistics
  • Speaker Identification
  • Source Separation
  • Statistical and Pattern Recognition
  • Speech Recognition and Speech Synthesis
  • Visual Perception and Modelling
  • Visual Features Analysis
  • Visual Selective Attention
• Models, Methods and Algorithms
  • Bayesian, Belief, Causal and Semantic Networks
  • Active Learning
  • Ensemble Learning, Committee Algorithms and Boosting
  • Embeddings and Manifold Learning
  • Kernel Methods, Large Margin Methods and SVM
  • Feature Analysis and Clustering
  • Mixture Models, Graphical Models, Topic Models and Gaussian Processes
  • Matrix/Tensor Analysis and Factorization
  • Neural Network Models (Feedforward/Recurrent/Self-organizing/Cellular/Hybrid Neural Networks)
  • Model Selection and Structure Learning
  • Pattern Analysis and Classification
  • Optimization Algorithms / Variational Methods
  • Sparsity and Feature Selection
  • Probabilistic and Information-Theoretic Methods
  • Statistical Learning Algorithms (PCA, ICA, Projection Pursuit Methods)
  • Stability and Convergence Analysis
  • Supervised/Unsupervised/Reinforcement Learning/Deep Learning
  • Structured and Relational Data
  • Temporal Models and Sequence Data
• Computational Neuroscience and Cognitive Science
  • Attractor and Associative Memory
  • Action and Motor Control
  • Computational Neural Models
  • Brain Imaging (fMRI, MEG, EEG)
  • Knowledge Acquisition and Language
  • Inference and Reasoning
  • Neural Encoding and Decoding
  • Learning and Memory
  • Perception, Emotion and Development
  • Neurodynamics, Complex Systems, and Chaos
  • Spiking Neurons
  • Plasticity and Adaptation
  • Visual and Auditory Cortex
• Control, Robotics and Hardware
  • Embedded Neural Networks
  • Action and Motor Control
  • Markov Decision Processes
  • Fuzzy Neural Networks
  • Neuromorphic Hardware and Implementations
  • Multi-Agent Systems and Game Theory
  • Policy Search
  • Planning and Decision Making
  • Reconfigurable Systems
  • Predictive State Representations
  • Robotics: Neural Robotics, Cognitive Robotics, Developmental Robotics
  • Reinforcement Learning
  • Visuomotor Control
• Novel Approaches and Applications
  • Brain-Computer Interfaces
  • Bioinformatics and Biomedical Engineering
  • Data Mining and Knowledge Discovery
  • Brain-Like Systems, Adaptive Intelligent Systems
  • Granular Computing
  • Evolutionary Neural Networks
  • Information Retrieval
  • Hybrid Intelligent Systems
  • Neuroinformatics and Neuroengineering
  • Natural Language Processing
  • Time Series Prediction
  • Systems Biology

Who should Attend

Esearchers, scientists, engineers and industry professionals.