International Conference on Pattern Recognition and Machine Learning ICPRML on December 30-31, 2025 in Paris, France
Submit Your Paper- Short Name: ICPRML
- Event Type: Conference
- Presentation: Physical
- Website URL: https://waset.org/pattern-recognition-and-machine-learning-conference-in-december-2025-in-paris
- Program URL: https://waset.org/conferences-in-december-2025-in-paris/program
- Contact URL: https://waset.org
- Location: Paris, France
- Date: December 30-31, 2025
- Final Submission: November 29, 2025
- Notification: December 12, 2024
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: visual analytics vision computing text mining technology soft computing robotic process automation reinforcement learning recommender systems protein interaction positive technology machine learning machine intelligence learning representations knowledge discovery intelligent systems intelligent mobile computing intelligent computing intelligent automation information retrieval industrial data analytics image processing image fusion image analysis fuzzy systems frontier computing fraud detection evolutionary computation edge intelligence deep learning decision support data mining data engineering data analytics data analysis computing computer vision computer technology computer science computer engineering computer applications biological computing big data analytics big data astroinformatics artificial neural networks artificial intelligence (ai) artificial intelligence ambient intelligence algorithms
Pattern Recognition and Basic Technologies
Statistical Pattern Recognition
Structural and Syntactic Pattern Recognition
Neural Networks
Machine Learning and Data Mining
Artificial Intelligence and Symbolic Learning
Classification and Clustering
Feature Selection, Dimensionality Reduction, Manifold Learning
Kernel Methods and Support Vector Machines
Invariance in Recognition
Multiresolution Techniques
OCR, Document Analysis and Understanding
Information Retrieval
Pattern Recognition and Computer Vision
Sensors and Early Vision
Color and Texture
Segmentation and Grouping
Motion and Tracking
Stereo and Structure from Motion
Image-Based Modeling
Illumination and Reflectance Modeling
Shape Representation
Object Recognition
Video Analysis and Event Recognition
Face and Gesture
Statistical Methods and Learning
Performance Evaluation
Medical Image Analysis
Image and Video Retrieval
Applications
Machine Learning Methods and Technologies
Artificial neural networks
Bayesian networks
Case-based reasoning
Clustering
Computational models of human learning
Computational learning theory
Cooperative learning
Decision tree learning
Discovery
Ensemble methods
Inductive logic programming
Information retrieval and learning
Instance based learning
Kernel methods
Knowledge base refinement
Knowledge intensive learning
Machine learning of natural language
Meta learning
Multi-agent learning
Multi-strategy learning
Planning and learning
Prediction of complex structures
Regression
Reinforcement learning
Rule learning
Statistical approaches
Semi-supervised learning
Unsupervised learning
Vision and learning
Computer Vision and Image Analysis
Active Vision
Early Vision
Feature Extraction
Motion Analysis
Representation
Recognition (2D and 3D)
Texture and Colour
Scene Understanding
Segmentation
Statistical Pattern Recognition
Structural and Syntactic Pattern Recognition
Neural Networks
Machine Learning and Data Mining
Artificial Intelligence and Symbolic Learning
Classification and Clustering
Feature Selection, Dimensionality Reduction, Manifold Learning
Kernel Methods and Support Vector Machines
Invariance in Recognition
Multiresolution Techniques
OCR, Document Analysis and Understanding
Information Retrieval
Pattern Recognition and Computer Vision
Sensors and Early Vision
Color and Texture
Segmentation and Grouping
Motion and Tracking
Stereo and Structure from Motion
Image-Based Modeling
Illumination and Reflectance Modeling
Shape Representation
Object Recognition
Video Analysis and Event Recognition
Face and Gesture
Statistical Methods and Learning
Performance Evaluation
Medical Image Analysis
Image and Video Retrieval
Applications
Machine Learning Methods and Technologies
Artificial neural networks
Bayesian networks
Case-based reasoning
Clustering
Computational models of human learning
Computational learning theory
Cooperative learning
Decision tree learning
Discovery
Ensemble methods
Inductive logic programming
Information retrieval and learning
Instance based learning
Kernel methods
Knowledge base refinement
Knowledge intensive learning
Machine learning of natural language
Meta learning
Multi-agent learning
Multi-strategy learning
Planning and learning
Prediction of complex structures
Regression
Reinforcement learning
Rule learning
Statistical approaches
Semi-supervised learning
Unsupervised learning
Vision and learning
Computer Vision and Image Analysis
Active Vision
Early Vision
Feature Extraction
Motion Analysis
Representation
Recognition (2D and 3D)
Texture and Colour
Scene Understanding
Segmentation
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE
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