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    » On Discriminative Joint Density Modeling
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    ICSE
    2005
    IEEE-ACM
    162views Software Engineering» more  ICSE 2005»
    Use of relative code churn measures to predict system defect density
    14 years 7 months ago
    Use of relative code churn measures to predict system defect density
    Download  research.microsoft.com
    Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to...
    Nachiappan Nagappan, Thomas Ball
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    CVPR
    2012
    IEEE
    270views Computer Vision» more  CVPR 2012»
    Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
    11 years 10 months ago
    Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
    Download  vis-www.cs.umass.edu
    Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
    Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
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    FGR
    2000
    IEEE
    112views Biometrics» more  FGR 2000»
    Viewpoint-Invariant Learning and Detection of Human Heads
    14 years 5 days ago
    Viewpoint-Invariant Learning and Detection of Human Heads
    Download  vision.ics.uci.edu
    We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
    Markus Weber, Wolfgang Einhäuser, Max Welling...
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    TASLP
    2008
    115views more  TASLP 2008»
    Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
    13 years 7 months ago
    Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
    Download  www.cstr.ed.ac.uk
    Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
    Alfred Dielmann, Steve Renals
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    NIPS
    1998
    95views Information Technology» more  NIPS 1998»
    Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
    13 years 9 months ago
    Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
    Download  www.cs.columbia.edu
    We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
    Tony Jebara, Alex Pentland
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