Automated design of linear tree classifiers

[1]  J. Sklansky,et al.  Automated design of multiple-class piecewise linear classifiers , 1989 .

[2]  Yoh-Han Pao,et al.  Adaptive pattern recognition and neural networks , 1989 .

[3]  Filson H. Glanz,et al.  An Autoregressive Model Approach to Two-Dimensional Shape Classification , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Behrooz Kamgar-Parsi,et al.  An improved branch and bound algorithm for computing k-nearest neighbors , 1985, Pattern Recognit. Lett..

[5]  Wolfgang Doster,et al.  A decision theoretic approach to hierarchical classifier design , 1984, Pattern Recognit..

[6]  G. H. Landeweerd,et al.  Binary tree versus single level tree classification of white blood cells , 1983, Pattern Recognit..

[7]  I. K. Sethi,et al.  Hierarchical Classifier Design Using Mutual Information , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Roland T. Chin,et al.  An Automated Approach to the Design of Decision Tree Classifiers , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Josef Kittler,et al.  Pattern recognition : a statistical approach , 1982 .

[10]  Jack Sklansky,et al.  Pattern Classifiers and Trainable Machines , 1981 .

[11]  Rama Chellappa,et al.  Stochastic models for closed boundary analysis: Representation and reconstruction , 1981, IEEE Trans. Inf. Theory.

[12]  King-Sun Fu,et al.  Automated classification of nucleated blood cells using a binary tree classifier , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Jack Sklansky,et al.  Locally Trained Piecewise Linear Classifiers , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Ryuzo Takiyama.  A learning procedure for multisurface method of pattern separation , 1980, Pattern Recognit..

[15]  E. M. Rounds.  A combined nonparametric approach to feature selection and binary decision tree design , 1980, Pattern Recognit..

[16]  Kevin Q. Brown,et al.  Voronoi Diagrams from Convex Hulls , 1979, Inf. Process. Lett..

[17]  Ashok V. Kulkarni.  On the Mean Accuracy of Hierarchical Classifiers , 1978, IEEE Transactions on Computers.

[18]  Robert B. McGhee,et al.  Aircraft Identification by Moment Invariants , 1977, IEEE Transactions on Computers.

[19]  I. Tomek,et al.  Two Modifications of CNN , 1976 .

[20]  Keinosuke Fukunaga,et al.  A Branch and Bound Algorithm for Computing k-Nearest Neighbors , 1975, IEEE Transactions on Computers.

[21]  Chin-Liang Chang,et al.  Finding Prototypes For Nearest Neighbor Classifiers , 1974, IEEE Transactions on Computers.

[22]  Dennis L. Wilson,et al.  Asymptotic Properties of Nearest Neighbor Rules Using Edited Data , 1972, IEEE Trans. Syst. Man Cybern..

[23]  Ralph Roskies,et al.  Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.

[24]  Gösta H. Granlund,et al.  Fourier Preprocessing for Hand Print Character Recognition , 1972, IEEE Transactions on Computers.

[25]  Olvi L. Mangasarian,et al.  Multisurface method of pattern separation , 1968, IEEE Trans. Inf. Theory.

[26]  Peter E. Hart,et al.  The condensed nearest neighbor rule (Corresp.) , 1968, IEEE Trans. Inf. Theory.

[27]  C. G. Hilborn,et al.  The Condensed Nearest Neighbor Rule , 1967 .

[28]  E. Forgy,et al.  Cluster analysis of multivariate data : efficiency versus interpretability of classifications , 1965 .

[29]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.