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    SDM
    2009
    SIAM
    225views Data Mining» more  SDM 2009»
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    14 years 7 months ago
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    Download  siam.org
    Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
    Fei Wang, Chris H. Q. Ding, Tao Li
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    IJCV
    2006
    100views more  IJCV 2006»
    A General Framework for Combining Visual Trackers - The "Black Boxes" Approach
    13 years 10 months ago
    A General Framework for Combining Visual Trackers - The "Black Boxes" Approach
    Download  www.cs.technion.ac.il
    Abstract. Over the past few years researchers have been investigating the enhancement of visual tracking performance by devising trackers that simultaneously make use of several di...
    Ido Leichter, Michael Lindenbaum, Ehud Rivlin
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    FGR
    2004
    IEEE
    238views Biometrics» more  FGR 2004»
    Nearest Manifold Approach for Face Recognition
    14 years 1 months ago
    Nearest Manifold Approach for Face Recognition
    Download  www.iipl.fudan.edu.cn
    Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
    Junping Zhang, Stan Z. Li, Jue Wang
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    WOB
    2008
    101views Bioinformatics» more  WOB 2008»
    Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions
    13 years 11 months ago
    Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions
    Download  www.cs.kent.ac.uk
    Abstract. Despite the recent advances in Molecular Biology, the function of a large amount of proteins is still unknown. An approach that can be used in the prediction of a protein...
    Eduardo P. Costa, Ana Carolina Lorena, André...
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    SDM
    2004
    SIAM
    211views Data Mining» more  SDM 2004»
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    13 years 11 months ago
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    Download  www.dbs.informatik.uni-muenchen.de
    Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
    Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
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