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» The Method of Quantum Clustering
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WEBI
2009
Springer
15 years 11 months ago
Summarizing Documents by Measuring the Importance of a Subset of Vertices within a Graph
— This paper presents a novel method of generating extractive summaries for multiple documents. Given a cluster of documents, we firstly construct a graph where each vertex repre...
Shouyuan Chen, Minlie Huang, Zhiyong Lu
ISMB
2000
15 years 8 months ago
Integrative Analysis of Protein Interaction Data
We have developed a method for the integrative analysis of protein interaction data. It comprises clustering, visualization and data integration components. The method is generall...
Matthias Fellenberg, Kaj Albermann, Alfred Zollner...
BIB
2008
74views more  BIB 2008»
15 years 7 months ago
The relative value of operon predictions
For most organisms, computational operon predictions are the only source of genome-wide operon information. Operon prediction methods described in literature are based on (a combi...
Rutger W. W. Brouwer, Oscar P. Kuipers, Sacha A. F...
CORR
2010
Springer
116views Education» more  CORR 2010»
15 years 5 months ago
Automatic Performance Debugging of SPMD Parallel Programs
Different from sequential programs, parallel programs possess their own characteristics which are difficult to analyze in the multi-process or multi-thread environment. This paper...
Xu Liu, Lin Yuan, Jianfeng Zhan, Bibo Tu, Dan Meng
ICASSP
2011
IEEE
14 years 10 months ago
Adaptive N-normalization for enhancing music similarity
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
Mathieu Lagrange, George Tzanetakis