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    PAMI
    2002
    114views more  PAMI 2002»
    Unsupervised Learning of Finite Mixture Models
    13 years 9 months ago
    Unsupervised Learning of Finite Mixture Models
    Download  dataclustering.cse.msu.edu
    Mário A. T. Figueiredo, Anil K. Jain
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    CVPR
    2012
    IEEE
    349views Computer Vision» more  CVPR 2012»
    Face detection, pose estimation, and landmark localization in the wild
    12 years 7 days ago
    Face detection, pose estimation, and landmark localization in the wild
    Download  www.ics.uci.edu
    We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared p...
    Xiangxin Zhu, Deva Ramanan
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    CLASSIFICATION
    2006
    108views more  CLASSIFICATION 2006»
    The Practice of Cluster Analysis
    13 years 9 months ago
    The Practice of Cluster Analysis
    Download  www.interfacesymposia.org
    Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
    Jon R. Kettenring
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    TREC
    2007
    105views Information Technology» more  TREC 2007»
    Query and Document Models for Enterprise Search
    13 years 11 months ago
    Query and Document Models for Enterprise Search
    Download  trec.nist.gov
    : We describe our participation in the TREC 2007 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on estimating a mixture mode...
    Krisztian Balog, Katja Hofmann, Wouter Weerkamp, M...
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    GI
    2007
    Springer
    206views Theoretical Computer Science» more  GI 2007»
    Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
    14 years 4 months ago
    Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
    Download  www.dcs.lancs.ac.uk
    : Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
    Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
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