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    MIA
    2010
    170views more  MIA 2010»
    Linear intensity-based image registration by Markov random fields and discrete optimization
    13 years 2 months ago
    Linear intensity-based image registration by Markov random fields and discrete optimization
    Download  ar.in.tum.de
    We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
    Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
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    PRL
    2010
    149views more  PRL 2010»
    Adaptive linear models for regression: Improving prediction when population has changed
    13 years 2 months ago
    Adaptive linear models for regression: Improving prediction when population has changed
    Download  hal.archives-ouvertes.fr
    The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
    Charles Bouveyron, Julien Jacques
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    SIAMMAX
    2010
    189views more  SIAMMAX 2010»
    Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
    13 years 2 months ago
    Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
    Download  www.math.hkbu.edu.hk
    Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
    Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
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    SIGKDD
    2010
    128views more  SIGKDD 2010»
    On cross-validation and stacking: building seemingly predictive models on random data
    13 years 2 months ago
    On cross-validation and stacking: building seemingly predictive models on random data
    Download  www.sigkdd.org
    A number of times when using cross-validation (CV) while trying to do classification/probability estimation we have observed surprisingly low AUC's on real data with very few...
    Claudia Perlich, Grzegorz Swirszcz
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    TC
    2010
    186views Information Technology» more  TC 2010»
    Model-Driven System Capacity Planning under Workload Burstiness
    13 years 2 months ago
    Model-Driven System Capacity Planning under Workload Burstiness
    Download  www.doc.ic.ac.uk
    In this paper, we define and study a new class of capacity planning models called MAP queueing networks. MAP queueing networks provide the first analytical methodology to describe ...
    Giuliano Casale, Ningfang Mi, Evgenia Smirni
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