4th International Conference on Image Processing and Artificial Intelligence (IPAI 2027)

The 4th International Conference on Image Processing and Artificial Intelligence (IPAI 2027) focuses on the intersection of image processing and artificial intelligence, covering topics such as machine learning, computer vision, and signal processing for various applications.

Key Topics

• Pattern Recognition and Machine Learning
  • Machine learning and data mining
  • Statistical and structural pattern recognition
  • Dimensionality reduction and manifold learning
  • Artificial neural networks
  • Symbolic learning
  • Classification and clustering
  • Deep learning
  • Active and ensemble learning
  • Support vector machine
  • Machine learning
  • Bayesian learning
  • Neural networks
  • Reinforcement learning and temporal models
  • Transfer learning
  • Semi-supervised learning and spectral methods
• Image, Speech, Signal and Video Processing
  • Image and video analysis and understanding
  • Signal, image and video processing
  • Segmentation, features and descriptors
  • Audio and acoustic processing and analysis
  • Automatic speech and speaker recognition
  • Texture and color analysis
  • Vision sensors
  • Multimedia analysis, indexing and retrieval
  • Computer-aided detection and diagnosis
  • Medical image and signal analysis
  • Face recognition
  • Image guidance and robot guidance of interventions
  • Graph theory in image processing
  • Image compression, coding, and encryption
  • Natural language processing
• Data Science and Artificial
  • Knowledge Engineering
  • Intelligence Application
  • Intelligent agent
  • Computational intelligence
  • Knowledge management
  • Intelligent control
  • Big data Data mining
  • Artificial Immune System
  • Human Computer Interaction
  • Distributed and parallel learning
  • Intelligent Systems
  • Fuzzy Systems and Control
  • Graphics algorithms
  • Soft Computing
• Computer Vision
  • Biologically motivated vision
  • Vision sensors
  • Image based modeling
  • Illumination and reflectance modeling
  • Perceptual organization
  • Physics-based vision
  • 3D shape recovery
  • Computational photography
  • Cognitive and embodied vision
  • 2D/3D object detection and recognition
  • Vision for graphics
  • Occlusion and shadow detection
  • Scene understanding