Class-specific feature sets in classification

作者: P.M. Baggenstoss

DOI: 10.1109/78.806092

关键词: Artificial intelligenceSignal classificationFeature setProbabilistic logicPattern recognitionMathematicsCurse of dimensionalityStatistical analysisMachine learningSufficient statisticClassifier (UML)

摘要: … a procedure for choosing class-specific feature sets zj;j = 1;2… specific feature sets taken separately; b) this classifier is equivalent to the classifier constructed from the union of the features…

参考文章(13)
David W. Scott, Multivariate Density Estimation Wiley Series in Probability and Statistics. ,(1992) , 10.1002/9780470316849
S.J. Raudys, A.K. Jain, Small sample size effects in statistical pattern recognition: recommendations for practitioners IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 13, pp. 252- 264 ,(1991) , 10.1109/34.75512
Stefan Aeberhard, Danny Coomans, Olivier de Vel, Comparative analysis of statistical pattern recognition methods in high dimensional settings Pattern Recognition. ,vol. 27, pp. 1065- 1077 ,(1994) , 10.1016/0031-3203(94)90145-7
H. Watanabe, T. Yamaguchi, S. Katagiri, Discriminative metric design for robust pattern recognition IEEE Transactions on Signal Processing. ,vol. 45, pp. 2655- 2662 ,(1997) , 10.1109/78.650091
Erich Leo Lehmann, Theory of point estimation ,(1950)
T. Kohonen, G. Nemeth, K.-J. Bry, M. Jalanko, H. Riittinen, Spectral classification of phonemes by learning subspaces ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing. ,vol. 4, pp. 97- 100 ,(1979) , 10.1109/ICASSP.1979.1170760
U. E. Makov, D. M. Titterington, Adrian F. M. Smith, Statistical analysis of finite mixture distributions ,(1986)
P. M. Baggenstoss, STRUCTURAL LEARNING FOR CLASSIFICATION OF HIGH DIMENSIONAL DATA international conference on intelligent systems. pp. 124- 129 ,(1997)