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    CVPR
    2007
    IEEE
    205views Computer Vision» more  CVPR 2007»
    Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
    14 years 8 months ago
    Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
    Download  www.comp.nus.edu.sg
    We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
    Liang Wang, David Suter
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    SIGIR
    2008
    ACM
    192views Information Technology» more  SIGIR 2008»
    Learning to rank with partially-labeled data
    13 years 6 months ago
    Learning to rank with partially-labeled data
    Download  ssli.ee.washington.edu
    Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
    Kevin Duh, Katrin Kirchhoff
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    ICIP
    2007
    IEEE
    169views Image Processing» more  ICIP 2007»
    Three Dimensional Face Recognition using Wavelet Decomposition of Range Images
    14 years 8 months ago
    Three Dimensional Face Recognition using Wavelet Decomposition of Range Images
    Download  live.ece.utexas.edu
    Interest in face recognition systems has increased significantly due to the emergence of significant commercial opportunities in surveillance and security applications. In this pa...
    Sina Jahanbin, Hyohoon Choi, Alan C. Bovik, Kennet...
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    EOR
    2007
    165views more  EOR 2007»
    Adaptive credit scoring with kernel learning methods
    13 years 6 months ago
    Adaptive credit scoring with kernel learning methods
    Download  www.crc.man.ed.ac.uk
    Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
    Yingxu Yang
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    ICCV
    2005
    IEEE
    206views Computer Vision» more  ICCV 2005»
    A Supervised Learning Framework for Generic Object Detection in Images
    14 years 8 months ago
    A Supervised Learning Framework for Generic Object Detection in Images
    Download  server.cs.ucf.edu
    In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
    Saad Ali, Mubarak Shah
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