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AIEDU
2007
85views more  AIEDU 2007»
15 years 7 months ago
Opening up the Interpretation Process in an Open Learner Model
Opening a model of the learner is a potentially complex operation. There are many aspects of the learner that can be modelled, and many of these aspects may need to be opened in di...
Nicolas van Labeke, Paul Brna, Rafael Morales
BC
2007
62views more  BC 2007»
15 years 7 months ago
A quantitative synchronization model for smooth pursuit target tracking
We propose a quantitative model for human smooth pursuit tracking of a continuously moving visual target which is based on synchronization of an internal expectancy model of the ta...
Henning U. Voss, Bruce D. McCandliss, Jamshid Ghaj...
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 7 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...
217
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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 7 months ago
Modeling Spatial and Temporal Dependencies of User Mobility in Wireless Mobile Networks
Abstract--Realistic mobility models are fundamental to evaluate the performance of protocols in mobile ad hoc networks. Unfortunately, there are no mobility models that capture the...
Wei-jen Hsu, Thrasyvoulos Spyropoulos, Konstantino...
DAM
2008
117views more  DAM 2008»
15 years 7 months ago
Analysis on the strip-based projection model for discrete tomography
Discrete tomography deals with image reconstruction of an object with finitely many gray levels (such as two). Different approaches are used to model the raw detector reading. The...
Jiehua Zhu, Xiezhang Li, Yangbo Ye, Ge Wang
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