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Volume 2, Pages 1-903 (1982)  ◄ Previous vol/iss    Next vol/iss ►  
Classification Pattern Recognition and Reduction of Dimensionality
Edited by: P.R. Krishnaiah and L.N. Kanal
ISBN: 978-0-444-86217-4  

1 Discriminant analysis for time series

2 Optimum rules for classification into two multivariate normal populations with the same covariance matrix

3 Large sample approximations and asymptotic expansions of classification statistics

4 Bayesian discrimination

5 Classification of growth curves

6 Nonparametric classification

7 Logistic discrimination

8 Nearest neighbor methods in discrimination

9 The classification and mixture maximum likelihood approaches to cluster analysis

10 Graphical techniques for multivariate data and for clustering

11 Cluster analysis software

12 Single-link clustering algorithms

13 Theory of multidimensional scaling

14 Multidimensional scaling and its applications

15 Intrinsic dimensionality extraction

16 Structural methods in image analysis and recognition

17 Image models

18 Image texture survey

19 Applications of stochastic languages

20 A unifying viewpoint on pattern recognition

21 Logical functions in the problems of empirical prediction

22 Inference and data tables with missing values

23 Recognition of electrocardiographic patterns

24 Waveform parsing systems

25 Continuous speech recognition: Statistical methods

26 Applications of pattern recognition in radar

27 White blood cell recognition

28 Pattern recognition techniques for remote sensing applications

29 Optical character recognition—Theory and practice

30 Computer and statistical considerations for oil spill identification

31 Pattern recognition in chemistry

32 Covariance matrix representation and object-predicate symmetry

33 Multivariate morphometrics

34 Multivariate analysis with latent variables

35 Use of distance measures, information measures and error bounds in feature evaluation

36 Topics in measurement selection

37 Selection of variables under univariate regression models

38 On the selection of variables under regression models using krishnaiah's finite intersection tests

39 Dimensionality and sample size considerations in pattern recognition practice

40 Selecting variables in discriminant analysis for improving upon classical procedures

41 Selection of variables in discriminant analysis

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