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» Multidimensional Data Modeling for Business Process Analysis
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144
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LWA
2004
15 years 5 months ago
Dirichlet Enhanced Latent Semantic Analysis
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
Kai Yu, Shipeng Yu, Volker Tresp
110
Voted
FDL
2005
IEEE
15 years 9 months ago
SystemC-Based Communication and Performance Analysis
In today’s electronic system-level (ESL) design processes, an early analysis of a system’s communication and nce characteristics is becoming a key challenge. The availability ...
Axel G. Braun, Joachim Gerlach, Wolfgang Rosenstie...
138
Voted
BMCBI
2010
144views more  BMCBI 2010»
15 years 3 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
109
Voted
ICIP
2002
IEEE
16 years 5 months ago
Face recognition using mixtures of principal components
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
Deepak S. Turaga, Tsuhan Chen
125
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CICLING
2007
Springer
15 years 10 months ago
Dependency Analysis and CBR to Bridge the Generation Gap in Template-Based NLG
The present paper describes how dependency analysis can be used to automatically extract from a corpus a set of cases - and an accompanying vocabulary - which enable a template-bas...
Virginia Francisco, Raquel Hervás, Pablo Ge...