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    ICCV
    2005
    IEEE
    373views Computer Vision» more  ICCV 2005»
    Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
    14 years 10 months ago
    Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
    Download  vision.cse.psu.edu
    In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
    Zhuowen Tu
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    WSC
    2004
    105views Modeling And Simulation» more  WSC 2004»
    Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
    13 years 10 months ago
    Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
    Download  espace.library.uq.edu.au
    Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
    Zdravko I. Botev, Dirk P. Kroese
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    CVPR
    2006
    IEEE
    194views Computer Vision» more  CVPR 2006»
    Aligning ASL for Statistical Translation Using a Discriminative Word Model
    14 years 10 months ago
    Aligning ASL for Statistical Translation Using a Discriminative Word Model
    Download  luthuli.cs.uiuc.edu
    We describe a method to align ASL video subtitles with a closed-caption transcript. Our alignments are partial, based on spotting words within the video sequence, which consists o...
    Ali Farhadi, David A. Forsyth
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    COLING
    2010
    150views Computational Linguistics» more  COLING 2010»
    Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
    13 years 3 months ago
    Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
    Download  www.comp.nus.edu.sg
    We employ Maximum Entropy model to conduct sub-tree alignment between bilingual phrasal structure trees. Various lexical and structural knowledge is explored to measure the syntac...
    Jun Sun, Min Zhang, Chew Lim Tan
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    CLASSIFICATION
    2006
    108views more  CLASSIFICATION 2006»
    The Practice of Cluster Analysis
    13 years 8 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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