Classifying pollen with Raman
نویسندگان
چکیده
منابع مشابه
Running Head: Classifying with Essentialized Categories Classifying with Essentialized Categories
A central tenet of modern categorization research is that real-world categories have no defining features, and that features are better thought of as probabilistically related to their category. Nevertheless, the belief in properties that are invariably associated with categories has persisted. One view— psychological essentialism—further states that essential properties and structures constrai...
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The instantaneous assessment of high-priced liquor products with minimal sample volume and no special preparation is an important task for quality monitoring and fraud detection. In this contribution the automated classification of Raman spectra acquired with a special optofluidic chip is performed with the use of a number of Artificial Neural Networks. A standard Radial Basis Function Network ...
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The identification of pollen grains is a task needed in many scientific and industrial applications, ranging from climate research to petroleum exploration. It is also a time-consuming task. To produce data, pollen experts spend hours, sometimes months, visually counting thousands of pollen grains from hundreds of images acquired by microscopes. Most current automation of pollen identification ...
متن کاملClassifying with Essentialized Categories
Psychological essentialism states that certain categories are assumed to have an underlying hidden reality (or "essence") that defines objects’ identity (Gelman, 2003; Medin & Ortony, 1989). Everyday classification, on the other hand, must be based on the features of objects that are observable. How do we reconcile these facts? One way is to assume that essential features cause observable ones,...
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ژورنال
عنوان ژورنال: Analytical Chemistry
سال: 2008
ISSN: 0003-2700,1520-6882
DOI: 10.1021/ac8022668