Strategies for combining classifiers employing shared and distinct pattern representations

Pattern Recognition Letters

Volumn 18, Issue 11-13, 1997, Pages 1373-1377

  Kittler, J ^a   Hojjatoleslami, A ^a   Windeatt, T ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

Classification; Multiple expert function

Indexed keywords

CLASSIFIERS; DECISION MAKING; ESTIMATION; EXPERT SYSTEMS; MEMBERSHIP FUNCTIONS; PROBABILITY;

MULTIPLE EXPERT FUNCTION;

PATTERN RECOGNITION;

EID: 0031271160     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(97)00095-0     Document Type: Article

References (6)

1. Ho, T.K., Hull, J.J., Srihari, S.N., 1994. Decision combination in multiple classifier systems. IEEE Trans. Pattern Anal. Machine Intell. 16 (1), 66-75.
2. Turner, K., Ghosh, J., 1996. Analysis of decision boundaries in linearly combined neural classifiers. Pattern Recognition 29, 341-348.
3. Xu, L., Krzyszak, A., Suen, C.Y., 1992. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. SMC 22 (3), 418-435.
4. Kittler, J., Hatef, M., Duin, R.P.W., 1996. Combining classifiers. In: Proc. 13th Internat. Conf. on Pattern Recognition, Vienna, vol. II, Track B, pp. 897-901.
5. Kittler, J., 1997. Improving recognition rates by classifier combination: A theoretical framework. In: Downton, A., Impedovo, S. (Eds.), Handwriting Recognition. World Scientific, Signapore.
6. Woods, K.S., Bowyer, K., Kergelmeyer, W.P., in review. Combination of multiple classifiers using local accuracy estimates. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 391-396 (in review).