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Titlebook: String Processing and Information Retrieval; 20th International S Oren Kurland,Moshe Lewenstein,Ely Porat Conference proceedings 2013 Sprin

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楼主: cerebral
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Compact Querieable Representations of Raster Data,are no compact representations of raster data that provide efficient query capabilities. In this paper we propose compact representations to efficiently store and query raster datasets in main memory. We experimentally compare our proposals with traditional storage mechanisms for raster data, showin
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Top-, Color Queries on Tree Paths,to efficiently answer queries for the top . distinct colors on the path between two nodes, reporting the colors sorted in descending order. Our data structure requires linear space of .(.) words and answers queries in .(.) time.
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Adding Compression and Blended Search to a Compact Two-Level Suffix Array,and can handle strings larger than the available memory. Assuming the latter situation, we introduce a factor-based mechanism for compressing the text string that integrates seamlessly with the in-memory index search structure, rather than requiring a separate dictionary. We also introduce a mixture
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Consolidating and Exploring Information via Textual Inference,es, formulated under the Textual Entailment paradigm, are used to consolidate redundant information into unique “core” statements, and then present them in an intuitive general-to-specific hierarchy. The talk will review some of the underlying concepts and algorithms behind our approach and present an initial demo.
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Simulation Study of Multi-threading in Web Search Engine Processors,ons of the multi-threading strategies to then go further on studying performance on very large processors. We conclude that intra-query parallelism scales up more efficiently than inter-query parallelism.
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