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    CVIU
    2006
    176views more  CVIU 2006»
    Temporal motion models for monocular and multiview 3D human body tracking
    13 years 9 months ago
    Temporal motion models for monocular and multiview 3D human body tracking
    Download  www.cs.toronto.edu
    We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
    Raquel Urtasun, David J. Fleet, Pascal Fua
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    ASIACRYPT
    2000
    Springer
    84views Cryptology» more  ASIACRYPT 2000»
    A Note on Security Proofs in the Generic Model
    14 years 1 months ago
    A Note on Security Proofs in the Generic Model
    Download  www.cdc.informatik.tu-darmstadt.de
    A discrete-logarithm algorithm is called generic if it does not exploit the specific representation of the cyclic group for which it is supposed to compute discrete logarithms. Su...
    Marc Fischlin
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    FGR
    1996
    IEEE
    186views Biometrics» more  FGR 1996»
    Cardboard People: A Parameterized Model of Articulated Image Motion
    14 years 1 months ago
    Cardboard People: A Parameterized Model of Articulated Image Motion
    Download  www.cs.brown.edu
    We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
    Shanon X. Ju, Michael J. Black, Yaser Yacoob
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    IJVR
    2008
    122views more  IJVR 2008»
    An Emotion-based Adaptive Behavioural Model for Simulated Virtual Agents
    13 years 9 months ago
    An Emotion-based Adaptive Behavioural Model for Simulated Virtual Agents
    Download  www.ijvr.org
    Simulations utilizing virtual humans, or computer controlled agents, are more predominant now than ever. Many of these simulations suffer from a lack of effective, stimulating, and...
    Ling Li, Sean MacDonnell
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 10 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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