ICMLPR 2012 - International Conference on Machine Learning and Pattern Recognition (ICMLPR 2012)

The VIII. International Conference on Machine Learning and Pattern Recognition is the premier forum for the presentation of new advances and research results in the fields of Machine Learning and Pattern Recognition. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

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

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