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    BMEI
    2009
    IEEE
    144views Biomedical Imaging» more  BMEI 2009»
    An Improved Probabilistic Model for Finding Differential Gene Expression
    14 years 11 months ago
    An Improved Probabilistic Model for Finding Differential Gene Expression
    Download  parnec.nuaa.edu.cn
    Abstract--Finding differentially expressed genes is a fundamental objective of a microarray experiment. Recently proposed method, PPLR, considers the probe-level measurement error ...
    Li Zhang, Xuejun Liu
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    IROS
    2008
    IEEE
    135views Robotics» more  IROS 2008»
    Probabilistic UHF RFID tag pose estimation with multiple antennas and a multipath RF propagation model
    15 years 4 months ago
    Probabilistic UHF RFID tag pose estimation with multiple antennas and a multipath RF propagation model
    Download  www.hsi.gatech.edu
    —We present a novel particle filter implementation for estimating the pose of tags in the environment with respect to an RFID-equipped robot. This particle filter combines sign...
    Travis Deyle, Charles C. Kemp, Matthew S. Reynolds
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    MBEES
    2010
    219views Embedded Systems» more  MBEES 2010»
    ProMoSA - Probabilistic Models for Safety Analysis
    14 years 11 months ago
    ProMoSA - Probabilistic Models for Safety Analysis
    Download  wwwiti.cs.uni-magdeburg.de
    : Das Ziel des ProMoSA Vorhabens st die Entwicklung eines durchgehend modell-basierten Ansatzes zur Sicherheitsanalyse. Dabei sollen sowohl quantitative als auch qualitative Aspekt...
    Frank Ortmeier, Matthias Güdemann
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    ICML
    2004
    IEEE
    167views Machine Learning» more  ICML 2004»
    Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
    15 years 10 months ago
    Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
    Download  www.cs.umass.edu
    In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
    Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
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    MICCAI
    2009
    Springer
    235views Medical Imaging» more  MICCAI 2009»
    Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
    15 years 7 months ago
    Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
    Download  www.caip.rutgers.edu
    Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
    Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
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