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    COMPUTING
    2004
    204views more  COMPUTING 2004»
    Image Registration by a Regularized Gradient Flow. A Streaming Implementation in DX9 Graphics Hardware
    13 years 8 months ago
    Image Registration by a Regularized Gradient Flow. A Streaming Implementation in DX9 Graphics Hardware
    Download  www.mpi-inf.mpg.de
    The presented image registration method uses a regularized gradient flow to correlate the intensities in two images. Thereby, an energy functional is successively minimized by des...
    Robert Strzodka, Marc Droske, Martin Rumpf
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    TMI
    2010
    208views more  TMI 2010»
    Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
    13 years 3 months ago
    Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
    Download  www5.cs.fau.de
    As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
    Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgesc...
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    SDM
    2004
    SIAM
    212views Data Mining» more  SDM 2004»
    Clustering with Bregman Divergences
    13 years 10 months ago
    Clustering with Bregman Divergences
    Download  jmlr.csail.mit.edu
    A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
    Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
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    ATAL
    2003
    Springer
    134views Intelligent Agents» more  ATAL 2003»
    Resource-aware exploration of the emergent dynamics of simulated systems
    14 years 2 months ago
    Resource-aware exploration of the emergent dynamics of simulated systems
    Download  www.newvectors.net
    The emerging science of simulation enables us to explore the dynamics of large and complex systems even if a formal representation and analysis of the system is intractable and a ...
    Sven Brueckner, H. Van Dyke Parunak
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    GECCO
    2007
    Springer
    194views Optimization» more  GECCO 2007»
    Hybrid coevolutionary algorithms vs. SVM algorithms
    14 years 2 months ago
    Hybrid coevolutionary algorithms vs. SVM algorithms
    Download  www.cs.bham.ac.uk
    As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
    Rui Li, Bir Bhanu, Krzysztof Krawiec
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