Independence of Measurements and the Mean Recognition Accuracy

IEEE Transactions on Information Theory

Volumn 17, Issue 4, 1971, Pages 452-456

  Chandrasekaran, Balakrishnan ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

STATISTICAL METHODS;

PATTERN RECOGNITION SYSTEMS;

EID: 0015095089     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/TIT.1971.1054665     Document Type: Article

References (7)

1. D. C. Allais, “The selection of measurements for prediction,” Stanford Electron. Labs., Tech. Rep. 6103–9, Nov. 1964; also available as AD 45 6770.
2. G. F. Hughes, “On the mean accuracy of statistical pattern recognizers,” IEEE Trans. Inform. Theory, vol. IT-14, Jan. 1968, pp.55-63.
3. K. Abend, T. J. Harley, Jr., B. Chandrasekaran, and G. F. Hughes, “Comments on ‘On the mean accuracy of statistical pattern recognizers’,” IEEE Trans. Inform. Theory (Corresp.), vol. IT-15, May 1969, pp. 420–423.
4. L. Kanal and B. Chandrasekaran, “On dimensionality and sample size in statistical pattern classification,” inProc.1968 Nat. Electronics Conf., pp. 2-7; also, Pattern Recognition, to be published.
5. J. T. Chu and J. C. Chueh, “Error probabilities in decision functions for character recognition,” Ass. Comput. Mach. J., vol. 14, Apr. 1967, pp. 273–280.
6. W. R. Gaffey, “Discriminatory analysis: Perfect discrimination as the number of variables increases,” USAF Sch. Aviat. Med., Randolf Field, Tex., Rep. 5, Project 21-49-004, Feb. 1951.
7. Z. Govindarajulu, “Normal approximations to the classical discrete distributions,” in Classical and Contagious Discrete Distributions, G. P. Patel, Ed. Calcutta: Statist. Publ, Soc., 1965, pp. 79-108; also, New York: Pergamon.