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» On two variations of identifying codes
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WSC
2004
14 years 11 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
DCC
2000
IEEE
15 years 2 months ago
Multiple Description Lattice Vector Quantization: Variations and Extensions
Multiple description lattice vector quantization (MDLVQ) is a technique for two-channel multiple description coding. We observe that MDLVQ, in the form introduced by Servetto, Vai...
Jonathan A. Kelner, Vivek K. Goyal, Jelena Kovacev...
DRR
2008
14 years 11 months ago
Hybrid approach combining contextual and statistical information for identifying MEDLINE citation terms
There is a strong demand for developing automated tools for extracting pertinent information from the biomedical literature that is a rich, complex, and dramatically growing resou...
In-Cheol Kim, Daniel X. Le, George R. Thoma
PVLDB
2010
139views more  PVLDB 2010»
14 years 4 months ago
Identifying the Most Influential Data Objects with Reverse Top-k Queries
Top-k queries are widely applied for retrieving a ranked set of the k most interesting objects based on the individual user preferences. As an example, in online marketplaces, cus...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...
RECOMB
2009
Springer
15 years 10 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...