Dynamic classifier selection based on multiple classifier behaviour

Pattern Recognition

Volumn 34, Issue 9, 2001, Pages 1879-1881

  Giacinto, Giorgio ^a   Roli, Fabio ^a  

^a UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION; SOFTWARE ENGINEERING;

DYNAMIC CLASSIFIER SELECTION; FEATURE SPACE; K-NEAREST NEIGHBORS; LOCAL REGION; MULTIPLE CLASSIFIER SYSTEMS; MULTIPLE CLASSIFIERS; NOCV1; TEST PATTERN;

NEAREST NEIGHBOR SEARCH;

EID: 84994037050     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(00)00150-3     Document Type: Article

References (5)

1. [1] J. Kittler, F. Roli (Eds.), Proceedings of the First International Workshop on Multiple Classifier Systems, MCS 2000, Lecture Notes in Computer Science, Vol. 1857, Springer Publication, Berlin, 2000.
2. [2] Huang, Y.S., Suen, C.Y., A method of combining multiple experts for the recognition of unconstrained handwritten numerals. IEEE Trans. on Pattern Analysis and Machine Intelligence 17:1 (1995), 90–94.
3. [3] G. Giacinto, F. Roli, Adaptive Selection of image classifiers. Proceedings of the 9th ICIAP, Lecture Notes in Computer Science, Vol. 1310, Springer, Berlin, 1997, pp. 38–45.
4. [4] Woods, K., Kegelmeyer, W.P., Bowyer, K., Combination of multiple classifiers using local accuracy estimates. IEEE Trans. on Pattern Analysis and Machine Intelligence 19:4 (1997), 405–410.
5. [5] Giacinto, G., Roli, F., Fumera, G., Selection of Image Classifiers. Electronics Letters 36:5 (2000), 420–422.