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216
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ER
2010
Springer
129views Database» more  ER 2010»
15 years 5 months ago
Specifying Aggregation Functions in Multidimensional Models with OCL
Multidimensional models are at the core of data warehouse systems, since they allow decision makers to early define the relevant information and queries that are required to satis...
Jordi Cabot, Jose-Norberto Mazón, Jes&uacut...
SOCIALCOM
2010
15 years 5 months ago
A Methodology for Integrating Network Theory and Topic Modeling and its Application to Innovation Diffusion
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
Jana Diesner, Kathleen M. Carley
264
Voted
ICTAI
2010
IEEE
15 years 4 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
CVPR
2011
IEEE
14 years 11 months ago
A Global Optimization Approach to Robust Multi-Model Fitting
We present a novel Quadratic Program (QP) formulation for robust multi-model fitting of geometric structures in vision data. Our objective function enforces both the fidelity of...
Jin Yu, Tat-Jun Chin, David Suter
212
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BMCBI
2006
103views more  BMCBI 2006»
15 years 7 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux