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    ISRR
    2005
    Springer
    178views Robotics» more  ISRR 2005»
    Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
    14 years 2 months ago
    Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
    Download  sun-valley.stanford.edu
    A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
    Aaron Plotnik, Stephen Rock
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    TREC
    2003
    140views Information Technology» more  TREC 2003»
    Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations
    13 years 10 months ago
    Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations
    Download  trec.nist.gov
    Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers,...
    Deepa Paranjpe, Ganesh Ramakrishnan, Sumana Sriniv...
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    CCS
    2009
    ACM
    179views Security Privacy» more  CCS 2009»
    The bayesian traffic analysis of mix networks
    14 years 18 days ago
    The bayesian traffic analysis of mix networks
    Download  conspicuouschatter.files.wordpress.com
    This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
    Carmela Troncoso, George Danezis
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    ICMLA
    2007
    149views Machine Learning» more  ICMLA 2007»
    Uncertainty optimization for robust dynamic optical flow estimation
    13 years 10 months ago
    Uncertainty optimization for robust dynamic optical flow estimation
    Download  eprints.pascal-network.org
    We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
    Volker Willert, Marc Toussaint, Julian Eggert, Edg...
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    AAAI
    1997
    124views Intelligent Agents» more  AAAI 1997»
    Effective Bayesian Inference for Stochastic Programs
    13 years 10 months ago
    Effective Bayesian Inference for Stochastic Programs
    Download  ai.stanford.edu
    In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
    Daphne Koller, David A. McAllester, Avi Pfeffer
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