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» Clustering Improves the Exploration of Graph Mining Results
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SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
15 years 9 months ago
Non-negative Matrix Factorization, Convexity and Isometry.
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
89
Voted
HICSS
2003
IEEE
127views Biometrics» more  HICSS 2003»
15 years 5 months ago
Storage Model for CDA Documents
The Health Level 7 Clinic Document Architecture (CDA) is an XML-based document markup standard that specifies the hierarchical structure and semantics of “clinical documents” ...
Zheng Liang, Peter Bodorik, Michael Shepher
ICITA
2005
IEEE
15 years 5 months ago
Partition-Based Parallel PageRank Algorithm
A re-ranking technique,called “PageRank brings a successful story behind the search engine. Many studies focus on finding an way to compute the PageRank scores of a large web gr...
Arnon Rungsawang, Bundit Manaskasemsak
ICASSP
2007
IEEE
15 years 6 months ago
Discriminative Gaussian Mixtures for Interactive Image Segmentation
Recently graph-cut optimization has been extensively explored for interactive image segmentation. In this paper we propose Discriminative Gaussian Mixtures (DGMs) to boost the per...
Jue Wang
SOFTVIS
2010
ACM
15 years 3 days ago
Embedding spatial software visualization in the IDE: an exploratory study
Software visualization can be of great use for understanding and exploring a software system in an intuitive manner. Spatial representation of software is a promising approach of ...
Adrian Kuhn, David Erni, Oscar Nierstrasz