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    ICRA
    2008
    IEEE
    185views Robotics» more  ICRA 2008»
    Human detection using multimodal and multidimensional features
    14 years 3 months ago
    Human detection using multimodal and multidimensional features
    Download  www.informatik.uni-freiburg.de
    — This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
    Luciano Spinello, Roland Siegwart
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    CVPR
    2008
    IEEE
    411views Computer Vision» more  CVPR 2008»
    Classification using intersection kernel support vector machines is efficient
    14 years 10 months ago
    Classification using intersection kernel support vector machines is efficient
    Download  www.cs.berkeley.edu
    Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
    Subhransu Maji, Alexander C. Berg, Jitendra Malik
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    IJCNN
    2000
    IEEE
    213views Neural Networks» more  IJCNN 2000»
    Pose Classification Using Support Vector Machines
    14 years 7 days ago
    Pose Classification Using Support Vector Machines
    Download  www.csai.unipa.it
    The field of human-computer interaction has been widely investigated in the last years, resulting in a variety of systems used in different application fields like virtual reality...
    Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    14 years 9 months ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 8 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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