Approximating general metric distances between a pattern and a text

SODA08: 19th ACM-SIAM Symposium on Discrete Algorithms San Francisco California January, 2008(2008)

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摘要
Let T = t0 … tn-1 be a text and P = p0 … pm-1 a pattern taken from some finite alphabet set Σ, and let d be a metric on Σ. We consider the problem of calculating the sum of distances between the symbols of P and the symbols of substrings of T of length m for all possible offsets. We present an ε-approximation algorithm for this problem which runs in time O(1/ε2n · polylog(n, |Σ|)). This algorithm is based on a low distortion embedding of metric spaces into normed spaces (especially, into ℓ∞), which is done as a preprocessing stage. The algorithm is also based on a technique of sampling.
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关键词
possible offset,finite alphabet set,metric space,normed space,time o,general metric distance,approximation algorithm,low distortion,preprocessing stage,length m,mixing time,ising model
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