The 4th International Conference on Machine Learning and Pattern Recognition (MLPR 2026)

The 4th International Conference on Machine Learning and Pattern Recognition (MLPR 2026) focuses on advancements and research in Pattern Recognition, Image Analysis, and Machine Learning, with applications in various intelligent systems and computational techniques.

Key Topics

• Pattern Recognition
  • Animation image analysis
  • Analysis and detection of singularities
  • Cluster analysis
  • Classification
  • Descriptor of shapes
  • Deformation analysis
  • Document analysis
  • Diagnosis of faults
  • Enhancement and restoration
  • Emotion computation
  • Hand gestures classification
  • Feature extraction
  • Image compression
  • Human face recognition
  • Image indexing and retrieval
  • Image fusion
  • Invariant representation of patterns
  • Image recovery
  • Learning theory
  • Iris pattern recognition
  • Medical image analysis
  • Machine vision
  • Nonstationary stochastic processing
  • Noise reduction
  • Segmentation
  • Range imaging and detection
  • Texture analysis and classification
  • Stochastic pattern recognition
  • Visualization
• Machine Learning
  • Dimensionality reduction
  • Active learning
  • Graphical models
  • Feature selection
  • Intelligent Business Computing
  • Imitation learning
  • Intelligent control system
  • Intelligent Systems
  • Intelligent robot
  • Intelligent human machine interface
  • Learning for big data
  • Latent variable models
  • Learning in graphs
  • Learning from noisy supervision
  • Multiple instance learning
  • Multi-objective learning
  • Online learning
  • Multi-task learning
  • Reinforcement learning
  • Optimization
  • Semi-supervised learning
  • Relational learning
  • Statistical machine learning
  • Sparse learning
  • Supervised learning
  • Structured output learning
  • Unsupervised learning
  • Transfer learning
  • Other machine learning methodologies