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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»
16 years 3 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...
HICSS
2003
IEEE
127views Biometrics» more  HICSS 2003»
15 years 11 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 11 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
16 years 13 days 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 6 months 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