Searching for authors named "Yury Lifshits" – sorted by Relevance.
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Mathematical Challenge
- Want to store date in the smallest possible space? Use data compression!
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Processing compressed texts: a tractability border
- Abstract. What kind of operations can we perform effectively (without full unpacking) with compressed texts? In this paper we consider three fundamental problems: (1) check the equality of two compressed texts, (2) check whether one compressed text is a substring of another compressed text, and (3)
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On the computational complexity of embedding of compressed texts, St.Petersburg State University Diploma thesis
- In this work we consider a well-known problem of processing of compressed texts. We study the following question (called Embedding): whether one compressed text is a subsequence of another compressed text? In this paper we show that Embedding is N P- and co-N P-hard. 1
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Similarity search via combinatorial nets
- We consider Nearest Neighbor Search problem in the so called combinatorial framework: Only direct comparisons between two pairwise similarity values are allowed. We assume that the similarity order for the input dataset has the following consistency property: if x is the a’th most similar object to
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Querying and Embedding Compressed Texts
- Abstract. In this work the computational complexity of two simple string problems on compressed input strings is considered: the querying problem (What is the symbol at a given position in a given input string?) and the embedding problem (Can the first input string embedded into the second input str
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Estimation of the click volume by large scale regression analysis
- Abstract. How could one estimate the total number of clicks a new advertisement could potentially receive in the current market? This question, called the click volume estimation problem is investigated in this paper. This constitutes a new research direction for advertising engines. We propose a mo
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Speeding Up HMM Decoding and Training by Exploiting Sequence Repetitions ⋆
- Abstract. We present a method to speed up the dynamic program algorithms used for solving the HMM decoding and training problems for discrete time-independent HMMs. We discuss the application of our method to Viterbi’s decoding and training algorithms [33], as well as to the forward-backward and Bau
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Member of Paradise group and of Theory group
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Maximal intersection queries in randomized graph models
- Abstract. Consider a family of sets and a single set, called query set. How can one quickly find a member of the family which has a maximal intersection with the query set? Strict time constraints on the query and on a possible preprocessing of the set family make this problem challenging. Such maxi
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Maximal Intersection Queries in Randomized Input Models
- Consider a family of sets and a single set, called the query set. How can one quickly find a member of the family which has a maximal intersection with the query set? Time constraints on the query and on a possible preprocessing of the set family make this problem challenging. Such maximal intersect
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