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    JAIR
    2010
    139views more  JAIR 2010»
    Multiattribute Auctions Based on Generalized Additive Independence
    13 years 7 months ago
    Multiattribute Auctions Based on Generalized Additive Independence
    Download  www.jair.org
    We develop multiattribute auctions that accommodate generalized additive independent (GAI) preferences. We propose an iterative auction mechanism that maintains prices on potentia...
    Yagil Engel, Michael P. Wellman
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    ECCV
    2006
    Springer
    143views Computer Vision» more  ECCV 2006»
    Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images
    14 years 10 months ago
    Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images
    Download  www.ri.cmu.edu
    Abstract. Active Appearance Models (AAM) are compact representations of the shape and appearance of objects. Fitting AAMs to images is a difficult, non-linear optimization task. Tr...
    Göksel Dedeoglu, Simon Baker, Takeo Kanade
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    MVA
    1990
    162views Computer Vision» more  MVA 1990»
    Map-Driven Image Interpretation by Associative Model Indexing
    13 years 9 months ago
    Map-Driven Image Interpretation by Associative Model Indexing
    Download  b2.cvl.iis.u-tokyo.ac.jp
    d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
    Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
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    TSP
    2010
    175views Artificial Intelligence» more  TSP 2010»
    Variance-component based sparse signal reconstruction and model selection
    13 years 3 months ago
    Variance-component based sparse signal reconstruction and model selection
    Download  home.eng.iastate.edu
    We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
    Kun Qiu, Aleksandar Dogandzic
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    TSP
    2010
    156views Artificial Intelligence» more  TSP 2010»
    Low complexity equalization for doubly selective channels modeled by a basis expansion
    13 years 3 months ago
    Low complexity equalization for doubly selective channels modeled by a basis expansion
    Download  publik.tuwien.ac.at
    We propose a novel equalization method for doubly selective wireless channels, whose taps are represented by an arbitrary Basis Expansion Model (BEM). We view such a channel in the...
    Tomasz Hrycak, Saptarshi Das, Gerald Matz, Hans G....
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