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Pattern Analysis and Machine Intelligence, IEEE Transactions on

Issue 5 • Date Sept. 1980

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Displaying Results 1 - 18 of 18
  • [Front cover]

    Publication Year: 1980 , Page(s): c1
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  • Inside front cover

    Publication Year: 1980 , Page(s): c2
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  • Preface to the special issue

    Publication Year: 1980 , Page(s): 381 - 382
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  • Pattern recognition of human brain electrical potentials

    Publication Year: 1980 , Page(s): 383 - 404
    Cited by:  Papers (11)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (5148 KB)  

    Since brain electrical potentials (BEPs) are correlated with a variety of behavioral and clinical variables, especially tight experimental designs are necessary. Primary analysis, which usually consists of spectral analysis, linear prediction, or zero-cross detection, should match the time scale and dynamics of the states or processes being investigated. Nonneural contaminants must be removed from... View full abstract»

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  • Hierarchical modeling of EEG signals

    Publication Year: 1980 , Page(s): 405 - 415
    Cited by:  Papers (15)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (2849 KB)  

    Describes a technique for quantitative analysis of EEG signals which is based on a hierarchy of models. These models include 1) recursively estimated autoregressive model, 2) piecewise stationary autoregressive model, 3) composite source model, and 4) character string and syntactic models. This hierarchical modeling approach introduces criteria for segmentation, clustering, and identification of c... View full abstract»

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  • Generation of ECG prototype waveforms by piecewise correlational averaging

    Publication Year: 1980 , Page(s): 415 - 420
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    Describes a novel approach to the processing of ECG data. The procedure constructs a prototype waveform and generates timing statistics on the waveform components within the beats. Individual segments, defined heuristically to separate the P, QRS, and T waves in each recorded waveform, are aligned by correlation and averaged independently. The individual segment averages are s... View full abstract»

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  • Comparison of decision rules for automatic EEG classification

    Publication Year: 1980 , Page(s): 420 - 428
    Cited by:  Papers (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (2462 KB)  

    Discusses eight classification rules, four based on parametric Gaussian assumptions and four based on nonparametric k-nearest neighbor density estimation, which were tested on human EEG samples representing seven forms of mental activity. With a set of primary EEG features, the k-NN rules, as a class, were significantly more effective than the parametric classifiers; best results wer... View full abstract»

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  • Automated classification of nucleated blood cells using a binary tree classifier

    Publication Year: 1980 , Page(s): 429 - 443
    Cited by:  Papers (19)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (2740 KB)  

    Describes the interactive design of a binary tree classifier. The binary tree classifier with a quadratic discriminant function using up to ten features at each nonterminal node was applied to classify 1294 cells into one of 17 classes. Classification accuracies of 83 percent and 77 percent were obtained by the binary tree classifier using the resubstitution and the leave-one-out methods of error ... View full abstract»

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  • The quantification of blood cell motion by a method of automatic digital picture processing

    Publication Year: 1980 , Page(s): 444 - 450
    Cited by:  Papers (4)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (3542 KB)  

    In order to facilitate the study of cell movement, the paper introduces a new automatic picture processing method for tracking and quantifying the dynamics of blood cell motion. The input to the program is a 16 mm cine film of the cell culture viewed in a steady condition. Under the circumstances, the global directional movement tendencies of the group of cells under consideration can be character... View full abstract»

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  • Optimizing cervical specimen classifiers

    Publication Year: 1980 , Page(s): 451 - 457
    Cited by:  Papers (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1727 KB)  

    In an automated cervical cancer screening program, a prescreening machine could pass suspicious specimens to a cytotechnologist or cytopathologist while eliminating the normals from human consideration. This decision should be made at minimum cost consistent with acceptable false negative error rates. The sequential probability ratio test allows the designer to specify the probability of detection... View full abstract»

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  • Optical processing for least mean-squares analysis of biomedical patterns

    Publication Year: 1980 , Page(s): 458 - 463
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1596 KB)  

    An optical method for the analysis of coherent light scattering patterns from samples of whole blood or urine is being investigated. The purpose of such analysis is the customary one of inferring counts of the numbers of particulates in each of several chosen classes. The linearity of expected light intensity with respect to numbers of scatterers permits their least mean-squares estimation using a... View full abstract»

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  • Artificial intelligence methods and systems for medical consultation

    Publication Year: 1980 , Page(s): 464 - 476
    Cited by:  Papers (4)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (3432 KB)  

    The major AI problems that arise in designing a consultation program involve choices of knowledge representations, diagnostic interpretation strategies, and treatment planning strategies. The need to justify decisions and update the knowledge base in the light of new research findings places a premium on the modularity of a representation and the ease with which its reasoning procedures can be exp... View full abstract»

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  • Some experience with transferring the MYCIN system to a new domain

    Publication Year: 1980 , Page(s): 477 - 478
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    The construction of an advisory system for psychopharmacology has revealed two problems in the use of backward chaining rule-based architectures for the construction of expert systems. The problems relate to the order of user interaction and to the use of metrics for combining evidence. View full abstract»

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  • Volume and surface area estimates using tomographic data

    Publication Year: 1980 , Page(s): 478 - 479
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    Imaging modalities such as computerized tomography, emission tomography, and ultrasound have facilitated the acquisition of objective numerical data describing internal organs or structures. The algorithm presented utilizes the tomographic data of those imaging modalities. The surface of an object is approximated by means of a polyhedron with triangular faces and minimal surface area. The volume a... View full abstract»

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  • Computer-aided recognition of small rounded pneumoconiosis opacities in chest X-rays

    Publication Year: 1980 , Page(s): 479 - 482
    Cited by:  Papers (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (2224 KB)  

    Discusses an adaptive object growing algorithm for computer-aided recognition of small rounded opacities in coal workers' chest X-rays as a means of early detection of pneumoconiosis. An object of suspected opacity is detected by the algorithm on the basis of maximizing an isolation contrast integral. It is then classified according to two contrast and geometric parameters. View full abstract»

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  • Preliminary program

    Publication Year: 1980 , Page(s): 483 - 492
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  • Inside back cover

    Publication Year: 1980 , Page(s): c3
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  • Back cover

    Publication Year: 1980 , Page(s): c4
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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.

Full Aims & Scope

Meet Our Editors

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