On pattern classification algorithms introduction and survey
暂无分享,去创建一个
[1] S. Agmon. The Relaxation Method for Linear Inequalities , 1954, Canadian Journal of Mathematics.
[2] D J Rogers,et al. A Computer Program for Classifying Plants. , 1960, Science.
[3] R. E. Kalman,et al. A New Approach to Linear Filtering and Prediction Problems , 2002 .
[4] Marvin Minsky,et al. Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.
[5] H. Raiffa,et al. Applied Statistical Decision Theory. , 1961 .
[6] Norman M. Abramson,et al. Learning to recognize patterns in a random environment , 1962, IRE Trans. Inf. Theory.
[7] T. W. Anderson,et al. Classification into two Multivariate Normal Distributions with Different Covariance Matrices , 1962 .
[8] Albert B Novikoff,et al. ON CONVERGENCE PROOFS FOR PERCEPTRONS , 1963 .
[9] C. Hugh Mays,et al. Effects of Adaptation Parameters on Convergence Time and Tolerance for Adaptive Threshold Elements , 1964, IEEE Trans. Electron. Comput..
[10] Alan G. Konheim,et al. Linear and Nonlinear Methods in Pattern Classification , 1964, IBM J. Res. Dev..
[11] Thomas M. Cover,et al. Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition , 1965, IEEE Trans. Electron. Comput..
[12] K R KAPLAN,et al. ANALYSIS OF MARKOV CHAIN MODELS OF ADAPTIVE PROCESSES. AMRL-TR-65-3. , 1965, AMRL-TR. Aerospace Medical Research Laboratories.
[13] E. Wong,et al. Iterative Synthesis of Threshold Functions , 1965 .
[14] J. B. Rosen. Pattern separation by convex programming , 1965 .
[15] Paul W. Cooper,et al. Quadratic discriminant functions in pattern recognition (Corresp.) , 1965, IEEE Trans. Inf. Theory.
[16] J. Spragins,et al. A note on the iterative application of Bayes' rule , 1965, IEEE Trans. Inf. Theory.
[17] O. Mangasarian. Linear and Nonlinear Separation of Patterns by Linear Programming , 1965 .
[18] Daniel G. Keehn,et al. A note on learning for Gaussian properties , 1965, IEEE Trans. Inf. Theory.
[19] Jack Sklansky. Threshold training of two-mode signal detection , 1965, IEEE Trans. Inf. Theory.
[20] Donald B. Brick,et al. Wiener's Nonlinear Expansion Procedure Applied to Cybernetic Problems , 1965, IEEE Trans. Syst. Sci. Cybern..
[21] Y. Ho,et al. A Class of Iterative Procedures for Linear Inequalities , 1966 .
[22] John C. Hancock,et al. Nonsupervised sequential classification and recognition of patterns , 1966, IEEE Trans. Inf. Theory.
[23] D. W. Peterson,et al. A method of finding linear discriminant functions for a class of performance criteria , 1966, IEEE Trans. Inf. Theory.
[24] Richard O. Duda,et al. Pattern Classification by Iteratively Determined Linear and Piecewise Linear Discriminant Functions , 1966, IEEE Trans. Electron. Comput..
[25] George Nagy,et al. Self-corrective character recognition system , 1966, IEEE Trans. Inf. Theory.
[26] R. Kashyap,et al. Recovery of functions from noisy measurements taken at randomly selected points and its application to pattern classification , 1966 .
[27] John D. Spragins,et al. Learning without a teacher , 1966, IEEE Trans. Inf. Theory.
[28] J. Sklansky,et al. Learning systems for automatic control , 1966 .
[29] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[30] Yi-Tzuu Chien. ON THE FINITE STOPPING RULES AND NONPARAMETRIC TECHNIQUES IN A FEATURE-ORDERED SEQUENTIAL RECOGNITION SYSTEM , 1967 .
[31] King-Sun Fu,et al. A Dynamic Programming Approach to Sequential Pattern Recognition , 1967, IEEE Trans. Electron. Comput..
[32] Stanley C. Fralick,et al. Learning to recognize patterns without a teacher , 1967, IEEE Trans. Inf. Theory.
[33] Colin C. Blaydon,et al. RECURSIVE ALGORITHMS FOR PATTERN CLASSIFICATION. , 1967 .
[34] Y. Ho,et al. On the self-learning scheme of Nagy and Shelton , 1967 .
[35] T. Wagner,et al. A mean-square performance criterion for adaptive pattern classification systems , 1967, IEEE Transactions on Automatic Control.
[36] George Nagy,et al. State of the art in pattern recognition , 1968 .
[37] J. H. Munson,et al. Experiments with Highleyman's Data , 1968, IEEE Transactions on Computers.