Welcome to the Meta-Recognition project webpage. Here you will find solutions and tools for improving recognition systems including downloadable library (libMR) which is free for non-commercial use.

Here is what you can do with our solutions:

• Attribute Fusion – robust fusion for descriptive visual attributes in a binary         SVM context for image retrieval applications.                                                                 For more information click Attribute Fusion
• EVT Failure prediction – a performance prediction method for recognition algorithms based on the use of the statistical extreme value theory (EVT).
  For more information click EVT-MR
  
• ML Failure prediction – a performance prediction method for recognition algorithms based on the use of machine learning classifiers
  For more information click ML-MR
• EVT and ML Fusion – strategies for fusing recognition algorithms based either on statistical extreme value theory or machine learning theory
  For more information click EVT-MR, ML-MR, or EVT-FUSION
• 1-vs-Set Machine – Recognition solutions to deal with the Open Set nature of recognition problems
  For more information click Open Set