Jean-Luc Voz

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Many neural-like algorithms cummtly under study support classification tasks. Several of these algorithms base their functionality on LVQ-like procedures to find locations of centroids in the data space, and on kernel (or radial-basis) functions centered on these centroids to approximate functions or probability densities. A generic analog chip could(More)
For pattern classi cation in a multi dimensional space the minimum misclassi cation rate is obtained by using the Bayes criterion Kernel estimators or probabilistic neural networks provide a good way to evaluate the probability densities of each class of data and are an interesting parallel implementation of the Bayesian classi er However their training(More)
Black walnut (Jug/am nigra L.) seeds are large and require stratification for germination. However, many seeds fail to germinate following stratification. Radiography can be used to select empty seeds, but cannot determine which full seeds will germinate. The objective of this study was to determine if any discrimination could bc achieved through use of(More)
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