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BMCBI
2006
202views more  BMCBI 2006»
15 years 19 days ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
PR
2008
123views more  PR 2008»
15 years 16 days ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
129
Voted
KDD
2012
ACM
229views Data Mining» more  KDD 2012»
13 years 3 months ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 6 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
100
Voted
FTDCS
2003
IEEE
15 years 5 months ago
Autonomous Transaction Processing Using Data Dependency in Mobile Environments
Mobile clients retrieve and update databases at servers. They use transactions in order to ensure the consistency of shared data in the presence of concurrent accesses. Transactio...
IlYoung Chung, Bharat K. Bhargava, Malika Mahoui, ...