Hamming distance for conjugates

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Hamming distance for conjugates

Let x, y be strings of equal length. The Hamming distance h(x, y) between x and y is the number of positions in which x and y differ. If x is a cyclic shift of y, we say x and y are conjugates. We consider f(x, y), the Hamming distance between the conjugates xy and yx. Over a binary alphabet f(x, y) is always even, and must satisfy a further technical condition. By contrast, over an alphabet of...

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The Generalized Fine-Wilf Theorem and Hamming Distance for Conjugates

Let x, y be strings of equal length. The Hamming distance h(x, y) between x and y is the number of positions in which x and y differ. If x is a cyclic shift of y, we say x and y are conjugates. We consider f(x, y), the Hamming distance between the conjugates xy and yx, and show it is never equal to 1; the proof uses a new generalization of the Fine-Wilf theorem. Over a binary alphabet f(x, y) i...

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Motivated by large-scale multimedia applications we propose to learn mappings from high-dimensional data to binary codes that preserve semantic similarity. Binary codes are well suited to large-scale applications as they are storage efficient and permit exact sub-linear kNN search. The framework is applicable to broad families of mappings, and uses a flexible form of triplet ranking loss. We ov...

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ژورنال

عنوان ژورنال: Discrete Mathematics

سال: 2009

ISSN: 0012-365X

DOI: 10.1016/j.disc.2008.11.001