International Conference on Machine Learning and Pattern Recognition ICMLPR on February 03-04, 2025 in Guangzhou, China
Submit Your Paper- Short Name: ICMLPR
- Event Type: Conference
- Presentation: Digital
- Website URL: https://waset.org/machine-learning-and-pattern-recognition-conference-in-february-2025-in-guangzhou
- Program URL: https://waset.org/conferences-in-february-2025-in-guangzhou/program
- Contact URL: https://waset.org
- Location: Guangzhou, China
- Date: February 03-04, 2025
- Final Submission: January 04, 2025
- Notification: December 12, 2024
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: intelligent mobile computing learning representations information retrieval fraud detection astroinformatics edge intelligence industrial data analytics artificial intelligence (ai) big data analytics biological computing robotic process automation data analysis image analysis computing ambient intelligence decision support reinforcement learning visual analytics machine intelligence vision computing data engineering text mining image fusion artificial neural networks intelligent automation data analytics algorithms big data protein interaction machine learning intelligent systems image processing data mining computer vision computer technology computer science computer engineering computer applications artificial intelligence technology positive technology soft computing intelligent computing frontier computing evolutionary computation knowledge discovery recommender systems fuzzy systems deep learning
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
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
Computer Vision and Image Analysis
Active Vision
Early Vision
Feature Extraction
Motion Analysis
Representation
Recognition (2D and 3D)
Texture and Colour
Scene Understanding
Segmentation
Shape from X
Visual Navigation
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
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
Computer Vision and Image Analysis
Active Vision
Early Vision
Feature Extraction
Motion Analysis
Representation
Recognition (2D and 3D)
Texture and Colour
Scene Understanding
Segmentation
Shape from X
Visual Navigation
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE
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