Toward Open Set Recognition

To date, almost all experimental evaluations of machine learning-based recognition algorithms in computer vision have taken the form of "closed set" recognition, whereby all testing classes are known at training time. A more realistic scenario for vision applications is "open set"...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2013-07, Vol.35 (7), p.1757-1772
Main Authors: Scheirer, W. J., de Rezende Rocha, A., Sapkota, A., Boult, T. E.
Format: Article
Language:English
Subjects:
1-vs-set machine
Animals
Applied sciences
Artificial intelligence
Biometric Identification
Computer science
control theory
systems
Data processing. List processing. Character string processing
Exact sciences and technology
Face
Face recognition
face verification
Humans
Image Processing, Computer-Assisted - methods
machine learning
Memory organisation. Data processing
Object recognition
Open set recognition
Pattern Recognition, Automated - methods
Pattern recognition. Digital image processing. Computational geometry
Software
Support Vector Machine
Support vector machines
Testing
Training
Training data
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