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SURVEY OF PATTERN RECOGNITION

Annals of the New York Academy of Sciences, 1969
One of the important uses of computers in clinical medicine is for the classification or screening of data. Examples abound where high speed and inexpensive but reliable automatic classification is desired. Electrocardiographs must be classified as healthy or abnormal. Differential white blood cell counts require the ability to discriminate between the
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A language for pattern recognition

Pattern Recognition, 1968
Abstract A pattern is defined to be any element of a finite Boolean Algebra generated by the elements of a pre-defined set of partitions on an abstract set. An object is defined to be the “atomic patterns” in this Boolean Algebra, i.e. the elements which cover the least element. A description is a statement obtained from a set of basic predicates by
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Leukocyte Pattern Recognition

IEEE Transactions on Systems, Man, and Cybernetics, 1972
The results of an automated classification of the peripheral blood leukocytes into eight categories are presented. The classification was achieved by means of digital image processing. The categories were: small lymphocytes, medium lymphocytes, large lymphocytes, band neutrophils, segmented neutrophils, eosinophils, basophils, and monocytes.
James W. Bacus, Earl E. Gose
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Pattern recognition categories

Pattern Recognition, 1976
Abstract We present a categorical definition of pattern recognition, which unifies algebraic and topological formalisms. We state and prove a recognition theorem, and show how to define equivalence and invariants for both settings.
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Interactive Pattern Recognition

2008
Pattern Recognition systems are not error-free. Human intervention is typically needed to verify and/or correct the result of such systems. To formalize this fact, a new framework, which integrates the human activity into the recognition process taking advantage of the user's feedback, is described.
Enrique Vidal 0001   +3 more
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Temporal pattern recognition

IEEE International Conference on Neural Networks, 1988
A network is described that takes as its input individual incoming events. Sequences of these events (letters, phonemes, or, more abstractly, object sightings in a vision system), received by the system over time are categorized as specific sequences by the temporal system.
Chen-Han Sung, Carey E. Priebe
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On Patterns and Pattern Recognition

1984
A set theoratic model for representing patterns and pattern classes is presented. Accordingly, a pattern P is defined as a finite non-empty set of features where feature element F is a 3-tupple, . The first two components Xi and Xj of the feature tupple F are either primitive patterns or sub-patterns appearing in a given pattern, and the third ...
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Pattern recognition

Neurology, 2003
KISS IMRE, VASILACHE MARCEL
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Programming pattern recognition

Proceedings of the March 1-3, 1955, western joint computer conference on - AFIPS '55 (Western), 1955
Everyone likes to speculate, and recently there has been a lot of talk about reading machines and hearing machines. We know it is possible to simulate speech. This raises lots of interesting questions such as: If the machines can speak, will they squawk when you ask them to divide by zero?
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Handwriting and pattern recognition

IEEE Transactions on Information Theory, 1962
Handwriting can be characterized as a sequence of basic strokes connected according to rule. Handwriting so generated approximates that of humans very closely. Such a matching process can be used as the fundamental principle in a handwriting recognizer.
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