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IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 3 • May 1986

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Displaying Results 1 - 16 of 16
  • [Front cover]

    Publication Year: 1986, Page(s): c1
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  • List of Contributors

    Publication Year: 1986, Page(s): nil
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  • [Breaker page]

    Publication Year: 1986
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  • [Breaker page]

    Publication Year: 1986, Page(s): 289
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  • Opinion

    Publication Year: 1986, Page(s): 290
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  • Information for authors

    Publication Year: 1986, Page(s):291 - 294
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  • Information for authors

    Publication Year: 1986, Page(s):295 - 300
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  • List of Contributors

    Publication Year: 1986, Page(s):301 - 303
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  • An Algorithm for Learning Without External Supervision and Its Application to Learning Control Systems

    Publication Year: 1986, Page(s):304 - 312
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1334 KB)

    An algorithm is proposed for the design of ``on-line'' learning controllers to control a discrete stochastic plant. The subjective probabilities of applying control actions from a finite set of allowable actions using random strategy, after any plant-environment situation (called an ``event'') is observed, are modified through the algorithm. The subjective probability for the optimal action is pro... View full abstract»

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  • A Dynamic Programming Approach to Sequential Pattern Recognition

    Publication Year: 1986, Page(s):313 - 326
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1958 KB)

    This paper presents the dynamic programming approach to the design of optimal pattern recognition systems when the costs of feature measurements describing the pattern samples are of considerable importance. A multistage or sequential pattern classifier which requires, on the average, a substantially smaller number of feature measurements than that required by an equally reliable nonsequential cla... View full abstract»

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  • Learning Control Systems-Review and Outlook

    Publication Year: 1986, Page(s):327 - 342
    Cited by:  Papers (50)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2999 KB)

    The basic concept of learning control is introduced. The following five learning schemes are briefly reviewed: 1) trainable controllers using pattern classifiers, 2) reinforcement learning control systems, 3) Bayesian estimation, 4) stochastic approximation, and 5) stochastic automata models. Potential applications and problems for further research in learning control are outlined. View full abstract»

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  • Grammatical Inference: Introduction and Survey-Part I

    Publication Year: 1986, Page(s):343 - 359
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2689 KB)

    The problem of grammatical inference is introduced, and its potential engineering applications are demonstrated. Inference algorithms for finite-state and context-free grammars are presented. The application of some of the algorithms to the inference of pattern grammars in syntactic pattern recognition is illustrated by examples. View full abstract»

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  • Grammatical Inference: Introduction and Survey-Part II

    Publication Year: 1986, Page(s):360 - 375
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2653 KB)

    Inference of high-dimensional grammars is discussed. Specifically, techniques for inferring tree grammars are briefly presented. The problem of inferring a stochastic grammar to model the behavior of an information source is also introduced and techniques for carrying out the inference process are presented for a class of stochastic finite-state and context-free grammars. The possible practical ap... View full abstract»

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  • A Tree System Approach for Fingerprint Pattern Recognition

    Publication Year: 1986, Page(s):376 - 387
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1813 KB)

    The purpose of this paper is to demonstrate how a syntactic approach and, in particular, a tree system may be used to represent and classify fingerprint patterns. The fingerprint impressions are subdivided into sampling squares which are preprocessed and postprocessed for feature extraction. A set of regular tree languages is used to describe the fingerprint patterns and a set of tree automata is ... View full abstract»

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  • Shape Discrimination Using Fourier Descriptors

    Publication Year: 1986, Page(s):388 - 397
    Cited by:  Papers (106)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3594 KB)

    Description or discrimination of boundary curves (shapes) is an important problem in picture processing and pattern recognition Fourier descriptors (FD's) have interesting properties in this respect. First, a critical review is given of two kinds of FD's. Some properties of the FD's are given and a distance measure is proposed, in terms of FD's, that measures the difference between two boundarv cu... View full abstract»

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  • A Step Towards Unification of Syntactic and Statistical Pattern Recognition

    Publication Year: 1986, Page(s):398 - 404
    Cited by:  Papers (54)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1130 KB)

    The problem of pattern recognition is discussed in terms of single-entity representation versus multiple-entity representation. A combined syntactic-semantic approach based on attributed grammars is suggested. Syntax-semantics tradeoff in pattern representation is demonstrated. This approach is intended to be an initial step toward unification of syntactic and statistical approaches to pattern rec... View full abstract»

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Aims & Scope

The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present most important research results in areas within TPAMI's scope.

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Meet Our Editors

Editor-in-Chief
David A. Forsyth
University of Illinois
e-mail: daf@illinois.edu