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    IJCAI
    2007
    182views Artificial Intelligence» more  IJCAI 2007»
    A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources
    13 years 11 months ago
    A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources
    Download  teamcore.usc.edu
    Agents often have to construct plans that obey deadlines or, more generally, resource limits for real-valued resources whose consumption can only be characterized by probability d...
    Janusz Marecki, Sven Koenig, Milind Tambe
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    IJCAI
    2007
    294views Artificial Intelligence» more  IJCAI 2007»
    Fast Image Alignment Using Anytime Algorithms
    13 years 11 months ago
    Fast Image Alignment Using Anytime Algorithms
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    Image alignment refers to finding the best transformation from a fixed reference image to a new image of a scene. This process is often guided by similarity measures between ima...
    Rupert Brooks, Tal Arbel, Doina Precup
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    IJCAI
    2007
    145views Artificial Intelligence» more  IJCAI 2007»
    Kernel Conjugate Gradient for Fast Kernel Machines
    13 years 11 months ago
    Kernel Conjugate Gradient for Fast Kernel Machines
    Download  www.ri.cmu.edu
    We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
    Nathan D. Ratliff, J. Andrew Bagnell
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    IJCAI
    2007
    177views Artificial Intelligence» more  IJCAI 2007»
    Fast Incremental Square Root Information Smoothing
    13 years 11 months ago
    Fast Incremental Square Root Information Smoothing
    Download  www.cc.gatech.edu
    We propose a novel approach to the problem of simultaneous localization and mapping (SLAM) based on incremental smoothing, that is suitable for real-time applications in large-sca...
    Michael Kaess, Ananth Ranganathan, Frank Dellaert
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    NIPS
    2007
    201views Information Technology» more  NIPS 2007»
    Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
    13 years 11 months ago
    Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
    Download  books.nips.cc
    We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
    Maryam Mahdaviani, Tanzeem Choudhury
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