Results 321 to 330 of about 2,450,419 (369)
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Pattern recognition by computer
Proceedings of the Royal Society of London. Series B. Biological Sciences, 1973The history of attempts at automatic recognition of images derived from microscopic and other biological material has now about 15 years to it; but there are as yet few working systems in which recognition tasks of any degree of complexity are done by computers or allied hardware.
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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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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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Science, 2005
Publisher Summary This chapter focuses on supervised pattern recognition methods. It describes how supervised classification could be tackled if one had complete knowledge about the various distributions involved, rather than merely a sample from these distributions.
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Publisher Summary This chapter focuses on supervised pattern recognition methods. It describes how supervised classification could be tackled if one had complete knowledge about the various distributions involved, rather than merely a sample from these distributions.
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A Method for Pattern Recognition
Research and Theory for Nursing Practice, 2006Although pattern is a dominant concept in nursing science, only Newman’s method for recognizing pattern has been fully articulated and widely used in research about the human health experience. This article proposes an alternative, less costly method to facilitate research with larger numbers of participants in clinical settings.
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Biosystems, 1969
Abstract This paper reviews some of the techniques which can be used to automatically classify and describe pictorial patterns. It discusses representative “preprocessing” and “property measurement” methods, with emphasis on methods which may be useful in processing biomedical pictures.
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Abstract This paper reviews some of the techniques which can be used to automatically classify and describe pictorial patterns. It discusses representative “preprocessing” and “property measurement” methods, with emphasis on methods which may be useful in processing biomedical pictures.
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Nature, 1967
Experiments show that there is a mechanism which enables bees to measure different angles of stripes on a vertical screen, and what kinds of stimuli may be decisive as sensory input.
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Experiments show that there is a mechanism which enables bees to measure different angles of stripes on a vertical screen, and what kinds of stimuli may be decisive as sensory input.
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Pattern recognition in insects
Current Opinion in Neurobiology, 1995After 80 years of research, the field of insect pattern recognition is about to move from the behavioral to the neuronal level. Recent experiments on bees, ants and flies indicate that pattern recognition must be seen as the recruitment of behavioral operations that help the nervous system to solve a task using a small number of potentially simple ...
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