Showing papers in "Pattern Recognition in 1974"

TL;DR: A model in which some of the constraints of biological development are incorporated is used and the relation between different modes of description of such patterns of organisms is investigated.

TL;DR: In this article, shape-oriented similarity and dissimilarity measures of triangles and polygons are proposed and investigated, which are invariant with respect to rotation, translation, or expansion or contraction in size.

TL;DR: It is argued that the statistics of the chords of the patterns are considered, leading to the histograms of the chord lengths and angles, which indicate the presence of structure in the pattern.

TL;DR: The one-dimensional clustering algorithm advocated by Slagle and Lee can be generalized to the n -dimensional case, n > 1 and the long links in a short spanning path or a minimal spanning tree have to be broken to obtain clusters.

TL;DR: This paper investigates how intraclass correlation among the training samples affects the misclassification probabilities of the Bayes' procedure.

TL;DR: Formal and algorithmic solutions to the classification problem when exemplars are simple (consist only of M feature or attribute values) are described and the relevance of these procedures to problems involving general data structures is indicated.

TL;DR: The main aim of this paper is a synthetical study of properties of optimality in spaces formed by partitions of a finite set, and formalizes and takes for a model of that study a family of particularly efficient technics of “clusters centers” type.

TL;DR: A method of binarization that can cope with quite large and abrupt changes of the grey levels of black and white and is conveniently implemented by means of associative addressing is introduced.

TL;DR: It is shown that under certain specified conditions, a filtered version of the machine output is equal, with vanishing error, to the true slope density.

TL;DR: In this paper, the authors present the results of research into the development of a semantic-based picture recognition technique, which makes explicit use of contextual information and bases recognition on intensional class descriptions.

TL;DR: A feature extraction method, inspired from principal component analysis, is applied to the information in a reliability data bank once transformed; the failure patterns and time-observations are displayed simultaneously for maintenance control and design review.

TL;DR: A syntax-directed program that performs a three-dimensional perceptual task that uses a fixed set of syntactic rules to analyze the line drawings, which is the first use of formal syntactic techniques in the analysis of pictures (in this case, line drawings) of three- dimensional objects.

TL;DR: The problem of assessing print quality in a way which will correlate with performance in a character recognition system is described with reference to existing specifications and measurement procedures.

TL;DR: Methods for assembling chromosome information from several cells in such a way that accidental variations due to preparation, etc. can be eliminated and an undistorted set of characteristics of the chromosome complement can be established.

TL;DR: An artificial touch perception system has been created in order to study a method of processing information obtainable through tactile exploration of three-dimensional forms through the use of the propositional calculus in logical classification of the objects.

TL;DR: A recursive learning pattern classification scheme is described which yields an overall accuracy of about 98 per cent and is part of the development of a high speed, automatic sorting and grading procedure.

TL;DR: A bilinear approximation for these surfaces is described, utilized to construct a modified nearest neighbor algorithm, which is evaluated by computer simulation experiments and showed a phenomenon of “bias”, where one aircraft data surface is more susceptible to misclassification in the presence of noise than the surface corresponding to another aircraft.