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» Characterizing the Paralation Model using Dynamic Assignment
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170
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MICCAI
2008
Springer
16 years 7 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»
16 years 7 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...
228
Voted
MASSDATA
2007
Springer
16 years 25 days 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
16 years 1 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...
184
Voted
IICAI
2007
15 years 8 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...