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TMI
2008
116views more  TMI 2008»
15 years 6 months ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
FLAIRS
2007
15 years 8 months ago
Managing Dynamic Contexts Using Failure-Driven Stochastic Models
We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
PVLDB
2010
120views more  PVLDB 2010»
15 years 4 months ago
Cloudy: A Modular Cloud Storage System
This demonstration presents Cloudy, a modular cloud storage system. Cloudy provides a highly flexible architecture for distributed data storage and is designed to operate with mu...
Donald Kossmann, Tim Kraska, Simon Loesing, Stepha...
BMCBI
2005
122views more  BMCBI 2005»
15 years 6 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...
ICTAI
2010
IEEE
15 years 3 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...