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    JODS
    2007
    102views Data Mining» more  JODS 2007»
    Default Clustering with Conceptual Structures
    13 years 8 months ago
    Default Clustering with Conceptual Structures
    Download  eric.univ-lyon2.fr
    This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...
    Julien Velcin, Jean-Gabriel Ganascia
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    ICIP
    2010
    IEEE
    298views Image Processing» more  ICIP 2010»
    3D vertebrae segmentation using graph cuts with shape prior constraints
    13 years 6 months ago
    3D vertebrae segmentation using graph cuts with shape prior constraints
    Download  www.cvip.uofl.edu
    Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral densit...
    Melih S. Aslan, Asem M. Ali, Dongqing Chen, Ben Ar...
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    SDM
    2004
    SIAM
    253views Data Mining» more  SDM 2004»
    Density-Connected Subspace Clustering for High-Dimensional Data
    13 years 10 months ago
    Density-Connected Subspace Clustering for High-Dimensional Data
    Download  www.dbs.informatik.uni-muenchen.de
    Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
    Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
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    CONEXT
    2010
    ACM
    131views Computer Networks» more  CONEXT 2010»
    Profiling-By-Association: a resilient traffic profiling solution for the internet backbone
    13 years 6 months ago
    Profiling-By-Association: a resilient traffic profiling solution for the internet backbone
    Download  eliassi.org
    Profiling Internet backbone traffic is becoming an increasingly hard problem since users and applications are avoiding detection using traffic obfuscation and encryption. The key ...
    Marios Iliofotou, Brian Gallagher, Tina Eliassi-Ra...
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 6 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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