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    ICMLA
    2007
    118views Machine Learning» more  ICMLA 2007»
    Soft Failure Detection Using Factorial Hidden Markov Models
    13 years 8 months ago
    Soft Failure Detection Using Factorial Hidden Markov Models
    Download  eprints.pascal-network.org
    In modern business, educational, and other settings, it is common to provide a digital network that interconnects hardware devices for shared access by the users (e.g., in an ofï¬...
    Guillaume Bouchard, Jean-Marc Andreoli
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    NIPS
    2008
    142views Information Technology» more  NIPS 2008»
    Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
    13 years 8 months ago
    Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
    Download  books.nips.cc
    Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
    Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
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    NIPS
    2008
    201views Information Technology» more  NIPS 2008»
    Using Bayesian Dynamical Systems for Motion Template Libraries
    13 years 8 months ago
    Using Bayesian Dynamical Systems for Motion Template Libraries
    Download  www.kyb.tuebingen.mpg.de
    Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
    Silvia Chiappa, Jens Kober, Jan Peters
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    NIPS
    2008
    161views Information Technology» more  NIPS 2008»
    Stochastic Relational Models for Large-scale Dyadic Data using MCMC
    13 years 8 months ago
    Stochastic Relational Models for Large-scale Dyadic Data using MCMC
    Download  www.dbs.informatik.uni-muenchen.de
    Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
    Shenghuo Zhu, Kai Yu, Yihong Gong
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    ICVGIP
    2004
    143views Computer Vision» more  ICVGIP 2004»
    Modeling Signs Using Functional Data Analysis
    13 years 8 months ago
    Modeling Signs Using Functional Data Analysis
    Download  www.csee.usf.edu
    1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
    Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta
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