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» Multidimensional Data Modeling for Business Process Analysis
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162
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ICDAR
2009
IEEE
15 years 1 months ago
Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
We compare in this study two image restoration approaches for the pre-processing of printed documents: namely the Non-local Means filter and a total variation minimization approac...
Laurence Likforman-Sulem, Jérôme Darb...
137
Voted
IPSN
2004
Springer
15 years 9 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
130
Voted
BMCBI
2004
158views more  BMCBI 2004»
15 years 3 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
128
Voted
CCS
2006
ACM
15 years 7 months ago
RoleMiner: mining roles using subset enumeration
Role engineering, the task of defining roles and associating permissions to them, is essential to realize the full benefits of the role-based access control paradigm. Essentially,...
Jaideep Vaidya, Vijayalakshmi Atluri, Janice Warne...
155
Voted
VSTTE
2005
Springer
15 years 9 months ago
From the How to the What
In this paper, we consider the Grand Challenge under a very specific perspective: the enabling of application experts without programming knowledge to reliably model their busines...
Tiziana Margaria, Bernhard Steffen