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    NAR
    2006
    86views more  NAR 2006»
    ISfinder: the reference centre for bacterial insertion sequences
    14 years 9 months ago
    ISfinder: the reference centre for bacterial insertion sequences
    Download  www.legs.cnrs-gif.fr
    ISfinder (www-is.biotoul.fr) is a dedicated database for bacterial insertion sequences (ISs). It has superseded the Stanford reference center. One of its functions is to assign IS...
    P. Siguier, J. Perochon, L. Lestrade, J. Mahillon,...
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    BMCBI
    2006
    108views more  BMCBI 2006»
    A new pooling strategy for high-throughput screening: the Shifted Transversal Design
    14 years 9 months ago
    A new pooling strategy for high-throughput screening: the Shifted Transversal Design
    Download  www.biomedcentral.com
    Background: In binary high-throughput screening projects where the goal is the identification of low-frequency events, beyond the obvious issue of efficiency, false positives and ...
    Nicolas Thierry-Mieg
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    CVPR
    2005
    IEEE
    206views Computer Vision» more  CVPR 2005»
    Kernel-Based Bayesian Filtering for Object Tracking
    15 years 11 months ago
    Kernel-Based Bayesian Filtering for Object Tracking
    Download  www.caip.rutgers.edu
    Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
    Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
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    TMI
    2002
    185views more  TMI 2002»
    A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
    14 years 9 months ago
    A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
    Download  www.cvip.uofl.edu
    In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI inten...
    Mohamed N. Ahmed, Sameh M. Yamany, Nevin Mohamed, ...
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    EMNLP
    2007
    250views Natural Language Processing» more  EMNLP 2007»
    Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
    14 years 11 months ago
    Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
    Download  acl.ldc.upenn.edu
    This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
    Jun Suzuki, Akinori Fujino, Hideki Isozaki
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