15th International Conference on Computing and Pattern Recognition (ICCPR 2026)

The 15th International Conference on Computing and Pattern Recognition (ICCPR 2026) explores computing and pattern recognition through advancements in machine learning, computer vision, data analytics, intelligent systems, and multimedia understanding.

Key Topics

• Machine Learning And Deep Learning
  • Machine Learning Algorithms And Methods
  • Deep Learning Models And Architectures
  • Feature Extraction And Representation Learning
  • Transfer Learning And Adaptive Learning
  • Reinforcement Learning Approaches
• Human-Computer Interaction And Intelligent Systems
  • Multimodal Interaction And Affective Computing
  • Virtual And Augmented Reality Environments
  • Intelligent Recommendation Systems
  • Human–Computer Collaboration And Intelligent Assistants
  • Autonomous Driving And Intelligent Transportation Systems
• Pattern Recognition And Data Mining
  • Pattern Classification And Clustering Techniques
  • Feature Selection And Dimensionality Reduction
  • Anomaly And Outlier Detection
  • Biomedical And Healthcare Pattern Recognition Applications
  • Knowledge Discovery And Data Mining Methods
• Computer Vision And Image Processing
  • Image Segmentation And Annotation Techniques
  • Object Detection And Recognition Systems
  • Image Generation And Synthesis
  • Video Analysis And Action Recognition
  • Image Quality Assessment And Enhancement
• Data Analysis And Big Data
  • Data Preprocessing And Data Cleansing
  • Large-Scale Data Processing And Analytics
  • Data Visualization And Interactive Analysis
  • Data Privacy And Security Techniques
  • Cloud-Based Data Analysis Environments
• Face Recognition And Biometrics
  • Face Detection And Recognition Technologies
  • Biometric Identification And Authentication Systems
  • Contactless Biometric Recognition Methods
  • Multimodal Biometric Systems
  • Facial Expression And Emotion Recognition
• Natural Language Processing And Text Analysis
  • Language Models And Semantic Representation
  • Machine Translation And Cross-Lingual Processing
  • Text Classification And Sentiment Analysis
  • Named Entity Recognition And Relation Extraction
  • Text Generation And Summarization
• Time Series Analysis And Forecasting
  • Time Series Modeling And Trend Analysis
  • Time Series Forecasting Techniques
  • Event And Anomaly Detection In Temporal Data
  • High-Dimensional Time Series Analysis
  • Time Series Data Mining Applications
• Reinforcement Learning And Adaptive Control
  • Model-Based Reinforcement Learning
  • Model-Free Reinforcement Learning
  • Multi-Agent Reinforcement Learning
  • Adaptive Control And Optimization
  • Deep Reinforcement Learning Applications
• Media Analysis And Content Understanding
  • Video Content Analysis And Understanding
  • Audio Signal Processing And Music Analysis
  • Image And Video Retrieval Systems
  • Semantic Media Understanding
  • Social Media Analysis And Mining

Who should Attend

• Researchers In Artificial Intelligence And Pattern Recognition
• Computer Vision And Machine Learning Engineers
• Data Scientists And Big Data Analysts
• Software Developers And Intelligent Systems Architects
• Academics And University Faculty In Computing Fields
• Graduate Students And Doctoral Researchers In AI And Data Science
• Industry Professionals Developing Smart Technologies And Applications