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conLSH: Context based Locality Sensitive Hashing for Mapping of noisy SMRT Reads
To deal with the high error probability of SMRT data, a novel contextual Locality Sensitive Hashing (conLSH) based algorithm is proposed in this article, which can effectively align the noisy SMRT reads to the reference genome.
An Improved Video Analysis using Context based Extension of LSH
In this article, a novel scheme of Context based Locality Sensitive Hashing (conLSH) has been introduced, in which points are hashed together not only based on their closeness, but also because of similar context.
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