Results 241 to 250 of about 2,362,620 (284)
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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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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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Computer, 1976
During the past fifteen years, there has been a considerable growth of interest in problems of pattern recognition. This interest has created an increasing need for theoretical methods and experimental software and hardware for use in the design of pattern recognition systems.
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During the past fifteen years, there has been a considerable growth of interest in problems of pattern recognition. This interest has created an increasing need for theoretical methods and experimental software and hardware for use in the design of pattern recognition systems.
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2011
This book constitutes the refereed proceedings of the 33rd Symposium of the German Association for Pattern Recognition, DAGM 2011, held in Frankfurt/Main, Germany, in August/September 2011. The 20 revised full papers and 22 revised poster papers were carefully reviewed and selected from 98 submissions.
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This book constitutes the refereed proceedings of the 33rd Symposium of the German Association for Pattern Recognition, DAGM 2011, held in Frankfurt/Main, Germany, in August/September 2011. The 20 revised full papers and 22 revised poster papers were carefully reviewed and selected from 98 submissions.
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Context-dependent functions of pattern recognition receptors in cancer
Nature Reviews Cancer, 2022Si Ming Man, Brendan J Jenkins
exaly
1994
Abstract The uniform approach to pattern inference developed in Chapters 13-17 enables us to deal with the different tasks - restoration, extrapolation, recognition, etc. - by the same methodology. We have, for example, developed inference algorithms in the same spirit for image restoration, extrapolation, and detection of abnormalities,
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Abstract The uniform approach to pattern inference developed in Chapters 13-17 enables us to deal with the different tasks - restoration, extrapolation, recognition, etc. - by the same methodology. We have, for example, developed inference algorithms in the same spirit for image restoration, extrapolation, and detection of abnormalities,
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Pattern-recognition receptors are required for NLR-mediated plant immunity
Nature, 2021Minhang Yuan, Guozhi Bi, Kinya Nomura
exaly