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» Process modeling paradigms: an evaluation
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CVPR
2010
IEEE
15 years 7 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ASE
2008
120views more  ASE 2008»
15 years 7 months ago
Requirements model generation to support requirements elicitation: the Secure Tropos experience
In the last years several efforts have been devoted by researchers in the Requirements Engineering community to the development of methodologies for supporting designers during req...
Nadzeya Kiyavitskaya, Nicola Zannone
CMOT
2000
94views more  CMOT 2000»
15 years 7 months ago
Performance of Organizational Design Models and Their Impact on Organization Learning
Theperformanceofvariousorganizationalstructuresisanessentialparameterinthereengineeringoforganizations, particularly in the current rapidly changing, competitive and information t...
Aris M. Ouksel, Ronald Vyhmeister
CLEIEJ
2002
156views more  CLEIEJ 2002»
15 years 7 months ago
A Fuzzy Model for Function Point Analysis to Development and Enhancement Project Assessments
Function Point Analysis (FPA) is among the most commonly used techniques to estimate the size of software system projects or software systems. During the point counting process th...
Osias de Souza Lima Júnior, Pedro Porf&iacu...
ACSAC
2010
IEEE
15 years 5 months ago
Analyzing and improving Linux kernel memory protection: a model checking approach
Code injection continues to pose a serious threat to computer systems. Among existing solutions, W X is a notable approach to prevent the execution of injected code. In this paper...
Siarhei Liakh, Michael C. Grace, Xuxian Jiang