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    » Information Theoretic Sensor Data Selection for Active Objec...
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    ICML
    2005
    IEEE
    195views Machine Learning» more  ICML 2005»
    Active learning for Hidden Markov Models: objective functions and algorithms
    14 years 6 months ago
    Active learning for Hidden Markov Models: objective functions and algorithms
    Download  www.cs.cmu.edu
    Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
    Brigham Anderson, Andrew Moore
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    MMS
    2006
    167views Information Technology» more  MMS 2006»
    View-invariant motion trajectory-based activity classification and recognition
    13 years 5 months ago
    View-invariant motion trajectory-based activity classification and recognition
    Download  www.ece.uic.edu
    Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
    Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
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    WWW
    2004
    ACM
    177views Internet Technology» more  WWW 2004»
    Mining models of human activities from the web
    14 years 6 months ago
    Mining models of human activities from the web
    Download  www.iw3c2.org
    The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
    Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
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    IJSNET
    2007
    155views more  IJSNET 2007»
    Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
    13 years 5 months ago
    Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
    Download  www.cedric-richard.fr
    : A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
    Hichem Snoussi, Cédric Richard
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    BMCBI
    2008
    160views more  BMCBI 2008»
    Feature selection environment for genomic applications
    13 years 5 months ago
    Feature selection environment for genomic applications
    Download  www.biomedcentral.com
    Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
    Fabrício Martins Lopes, David Correa Martin...
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