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ICMLPR 2012 - International Conference on Machine Learning and Pattern Recognition (ICMLPR 2012)
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Category ICMLPR 2012
Deadline: October 31, 2011 | Date: February 22, 2012-February 24, 2012
Venue/Country: Pe nang, Malaysia
Updated: 2011-06-29 12:16:52 (GMT+9)
Call For Papers - CFP
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 learningPattern 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 RetrievalPattern 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 ApplicationsComputer 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 NavigationContact us: info
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