Efficient evaluation of classification and recognition systems

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2001, Pages

  Micheals, Ross J ^a   Boult, Terrance E ^a  

^a Lehigh University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER VISION; ERROR ANALYSIS; FACE RECOGNITION; MATHEMATICAL MODELS; STATISTICAL METHODS;

COMPUTER VISION SYSTEMS;

PATTERN RECOGNITION SYSTEMS;

EID: 0035680125     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. The FERET evaluation methodology for face-recognition algorithms
2. Inference from statified samples
3. Performance chateristics of vision algorithms
4. Performance assessment through bootstrap
5. Variance estimation for complex surveys using replication techniques
6. Inference from complex samples
7. Construction orthogonal replications for variance estimation
8. Ignorance, myopia, and naivete in computer vision systems
9. The design of optimum multifactorial experiments
10. Practical methods for design and analysis of complex surveys
11. 10 Pros and cons against performance characterization of vision algorithms