Article ID Journal Published Year Pages File Type
6941187 Pattern Recognition Letters 2015 7 Pages PDF
Abstract
The dissimilarity representation for designing pattern recognition systems is analyzed for its ability to build new knowledge from examples using an anti-essentialist approach. It is argued that it may find universals (pattern classifiers) from particulars (training set of examples) but that the resulting knowledge can just be applied but not accessed. Consequently, its use for a conscious human decision maker is limited.
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
Authors
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