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ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
16 years 21 hour ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
ISCAS
2007
IEEE
97views Hardware» more  ISCAS 2007»
16 years 1 months ago
Modeling the Telephone Call Network
— It is natural to envisage that in a telephone network, some telephone numbers originate or receive more calls than others. Indeed, real-life data have verified the conjecture ...
Wai Man Tam, Francis C. M. Lau, C. K. Michael Tse
APCCM
2009
15 years 7 months ago
Multi-Level Domain Modeling with M-Objects and M-Relationships
Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...
Bernd Neumayr, Katharina Grün, Michael Schref...
TIP
2002
179views more  TIP 2002»
15 years 6 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICASSP
2011
IEEE
14 years 10 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis