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» A Simple Abstraction for Data Modeling
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152
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TSP
2010
14 years 11 months ago
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
ECIR
2011
Springer
14 years 8 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
270
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IWINAC
2011
Springer
14 years 7 months ago
Clustering of Trajectories in Video Surveillance Using Growing Neural Gas
Abstract. One of the more important issues in intelligent video surveillance systems is the ability to handle events from the motion of objects. Thus, the classification of the tr...
Javier Acevedo-Rodríguez, Saturnino Maldona...
ICCV
2007
IEEE
16 years 6 months ago
Spherical-Homoscedastic Shapes
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
Onur C. Hamsici, Aleix M. Martínez
ISBI
2002
IEEE
16 years 5 months ago
Correction for external LOR effects in listmode reconstruction for PET
In PET imaging listmode is an alternative for projections to store the acquisition data with more accuracy. The reconstruction starting from the listmode format requires different...
Stefaan Vandenberghe, Yves D'Asseler, Rik Van de W...