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» Signal Collect: Graph Algorithms for the (Semantic) Web
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SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
13 years 9 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
TSP
2008
151views more  TSP 2008»
13 years 7 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
ASWC
2009
Springer
13 years 8 months ago
Merging and Ranking Answers in the Semantic Web: The Wisdom of Crowds
In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
Vanessa Lopez, Andriy Nikolov, Miriam Ferná...
ACSD
2007
IEEE
103views Hardware» more  ACSD 2007»
14 years 1 months ago
Output-Determinacy and Asynchronous Circuit Synthesis
Signal Transition Graphs (STG) are a formalism for the description of asynchronous circuit behaviour. In this paper we propose (and justify) a formal semantics of nondeterministic...
Victor Khomenko, Mark Schäfer, Walter Vogler
ICPR
2010
IEEE
13 years 11 months ago
Efficient Semantic Indexing for Image Retrieval
Semantic analysis of a document collection can be viewed as an unsupervised clustering of the constituent words and documents around hidden or latent concepts. This has shown to i...
Chandrika Pulla, Suman Karthik, C. V. Jawahar