International Conference on Pattern Recognition and Machine Learning ICPRML on February 12-13, 2026 in Rio de Janeiro, Brazil
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- Short Name: ICPRML
- Event Type: Conference
- Presentation: Digital
- Website URL: https://waset.org/pattern-recognition-and-machine-learning-conference-in-february-2026-in-rio-de-janeiro
- Program URL: https://waset.org/conferences-in-february-2026-in-rio-de-janeiro/program
- Contact URL: https://waset.org
- Location: Rio de Janeiro, Brazil
- Date: February 12-13, 2026
- Final Submission: February 04, 2026
- Notification: June 12, 2025
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: deep learning fuzzy systems recommender systems knowledge discovery evolutionary computation frontier computing intelligent computing soft computing positive technology technology artificial intelligence computer applications computer engineering computer science computer technology computer vision data mining image processing intelligent systems machine learning protein interaction big data algorithms data analytics intelligent automation artificial neural networks image fusion text mining data engineering vision computing machine intelligence visual analytics reinforcement learning decision support ambient intelligence computing image analysis data analysis robotic process automation biological computing big data analytics artificial intelligence (ai) industrial data analytics edge intelligence astroinformatics fraud detection information retrieval learning representations intelligent mobile computing
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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