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» Characterizing the Paralation Model using Dynamic Assignment
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MICCAI
2008
Springer
14 years 8 months ago
Nonrigid Registration of Dynamic Renal MR Images Using a Saliency Based MRF Model
Nonrigid registration of contrast-enhanced MR images is a difficult problem due to the change in pixel intensity caused by the washin and wash-out of the contrast agent. In this pa...
Dwarikanath Mahapatra, Ying Sun
KDD
2009
ACM
203views Data Mining» more  KDD 2009»
14 years 8 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
MASSDATA
2007
Springer
14 years 1 months ago
A General Approach to Shape Characterization for Biomedical Problems
Abstract. In this paper, we present a general approach to shape characterization and deformation analysis of 2D/3D deformable visual objects. In particular, we define a reference ...
Davide Moroni, Petra Perner, Ovidio Salvetti
IWQOS
2004
Springer
14 years 26 days ago
Service availability: a new approach to characterize IP backbone topologies
— Traditional SLAs, defined by average delay or packet loss, often camouflage the instantaneous performance perceived by end-users. We define a set of metrics for service avai...
Ram Keralapura, Chen-Nee Chuah, Gianluca Iannaccon...
IICAI
2007
13 years 9 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...