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    UAI
    2003
    78views Artificial Intelligence» more  UAI 2003»
    On Triangulating Dynamic Graphical Models
    13 years 9 months ago
    On Triangulating Dynamic Graphical Models
    Download  ssli.ee.washington.edu
    This paper introduces improved methodology to triangulate dynamic graphical models and dynamic Bayesian networks (DBNs). In this approach, a standard DBN template can be modified...
    Jeff A. Bilmes, Chris Bartels
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    SODA
    1996
    ACM
    95views Algorithms» more  SODA 1996»
    RNC Algorithms for the Uniform Generation of Combinatorial Structures
    13 years 8 months ago
    RNC Algorithms for the Uniform Generation of Combinatorial Structures
    Download  www.csc.liv.ac.uk
    We describe several RNC algorithms for generating graphs and subgraphs uniformly at random. For example, unlabelled undirected graphs are generated in O(lg3 n) time using O n2 lg3...
    Michele Zito, Ida Pu, Martyn Amos, Alan Gibbons
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    TRECVID
    2007
    162views Internet Technology» more  TRECVID 2007»
    Eurecom at TRECVid 2007: Extraction of High-level Features
    13 years 8 months ago
    Eurecom at TRECVid 2007: Extraction of High-level Features
    Download  www-nlpir.nist.gov
    In this paper we describe our experiments for the high level features extraction task of TRECVid 2007. Our approach is different than previous submissions in that we have impleme...
    Rachid Benmokhtar, Eric Galmar, Benoit Huet
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    ETRA
    2010
    ACM
    213views Biometrics» more  ETRA 2010»
    Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
    13 years 8 months ago
    Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
    Download  www.cs.txstate.edu
    This paper presents a set of qualitative and quantitative scores designed to assess performance of any eye movement classification algorithm. The scores are designed to provide a ...
    Oleg V. Komogortsev, Sampath Jayarathna, Do Hyong ...
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    JMLR
    2006
    120views more  JMLR 2006»
    Kernel-Based Learning of Hierarchical Multilabel Classification Models
    13 years 7 months ago
    Kernel-Based Learning of Hierarchical Multilabel Classification Models
    Download  jmlr.csail.mit.edu
    We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
    Juho Rousu, Craig Saunders, Sándor Szedm&aa...
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