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A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate similarity measure for the particular feature space, as there is usually only little knowledge about the structure of that space. As a possible solution to this problem this paper presents a method to obtain a similarit...
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This draft will develop in notes for the Minerva lectures given at Columbia University by the author in October of 2015. At this point, the text is very incomplete and may contain substantial mistakes and inconsistencies. Please do not distribute without permission of the author, and contact via email at [email protected] to report and errors you may have discovered.
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ژورنال
عنوان ژورنال: Transactions of the American Mathematical Society
سال: 1964
ISSN: 0002-9947
DOI: 10.1090/s0002-9947-1964-0161953-5