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» Teaching data modeling: process and patterns
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CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 10 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CIKM
2009
Springer
14 years 2 months ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An
SACMAT
2003
ACM
14 years 3 months ago
Role mining - revealing business roles for security administration using data mining technology
In this paper we describe the work devising a new technique for role-finding to implement Role-Based Security Administration. Our results stem from industrial projects, where larg...
Martin Kuhlmann, Dalia Shohat, Gerhard Schimpf
GRAPHICSINTERFACE
2007
13 years 11 months ago
Robust pixel classification for 3D modeling with structured light
Modeling 3D objects and scenes is an important part of computer graphics. One approach to modeling is projecting binary patterns onto the scene in order to obtain correspondences ...
Yi Xu, Daniel G. Aliaga
PDPTA
2010
13 years 7 months ago
Data-Parallelism and GPUs for Lattice Gas Fluid Simulations
Lattice gas cellular automata (LGCA) models provide a relatively fast means of simulating fluid flow and can give both quantitative and qualitative insights into flow patterns aro...
Mitchel Johnson, Daniel P. Playne, Kenneth A. Hawi...