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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Neural spike sorting under nearly 0-dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier
Kyung Hwan Kim,Sung June Kim +1 more
TL;DR: The superior detection ability facilitates the collection of a training set under lower SNR than that of the methods which employ simple amplitude thresholding, so that the statistical characteristics of the input vectors can be better represented in the neural-network classifier.
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A Novel Breast Tissue Density Classification Methodology
Arnau Oliver,Jordi Freixenet,Robert Martí,Josep Pont,Elsa Pérez,Erika R. E. Denton,Reyer Zwiggelaar +6 more
TL;DR: The development of an automatic breast tissue classification methodology can be summarized in a number of distinct steps: 1) the segmentation of the breast area into fatty versus dense mammographic tissue; 2) the extraction of morphological and texture features from the segmented breast areas; and 3) the use of a Bayesian combination of anumber of classifiers.
Journal ArticleDOI
Incorporating Fuzzy Membership Functions into the Perceptron Algorithm
James M. Keller,Douglas J. Hunt +1 more
TL;DR: It is shown that the fuzzy perceptron, like its crisp counterpart, converges in the separable case.
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A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
TL;DR: A short introduction into machine learning is given, its potential for precision crop protection is analyzed and an overview of instructive examples from different fields of precision agriculture is provided.
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Eye color and the prediction of complex phenotypes from genotypes
Fan Liu,Kate van Duijn,Johannes R. Vingerling,Albert Hofman,André G. Uitterlinden,A. Cecile J.W. Janssens,Manfred Kayser +6 more
TL;DR: This work used human eye (iris) color of Europeans as an empirical example to demonstrate that highly accurate genetic prediction of complex human phenotypes is feasible and the six DNA markers identified as major eye color predictors will be valuable in forensic studies.
References
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Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters
TL;DR: In this paper, two fuzzy versions of the k-means optimal, least squared error partitioning problem are formulated for finite subsets X of a general inner product space, and the extremizing solutions are shown to be fixed points of a certain operator T on the class of fuzzy, k-partitions of X, and simple iteration of T provides an algorithm which has the descent property relative to the LSE criterion function.