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    ICDAR
    2009
    IEEE
    119views Document Analysis» more  ICDAR 2009»
    A Novel Feature Extraction and Classification Methodology for the Recognition of Historical Documents
    14 years 7 months ago
    A Novel Feature Extraction and Classification Methodology for the Recognition of Historical Documents
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    In this paper, we present a methodology for off-line character recognition that mainly focuses on handling the difficult cases of historical fonts and styles. The proposed methodo...
    Georgios Vamvakas, Basilios Gatos, Stavros J. Pera...
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    ICML
    2008
    IEEE
    134views Machine Learning» more  ICML 2008»
    Dirichlet component analysis: feature extraction for compositional data
    15 years 1 months ago
    Dirichlet component analysis: feature extraction for compositional data
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    We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
    Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha
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    ICIP
    2005
    IEEE
    123views Image Processing» more  ICIP 2005»
    Feature extraction of non-stained melanocyte cells
    15 years 2 months ago
    Feature extraction of non-stained melanocyte cells
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    We present a procedure that extracts detailed morphological measurements from human melanocyte cells. The cells and imaging condition have the following characteristics: (i) no im...
    Ralf Kemkemer, Giovanni G. Estrada, D. Kaufmann, D...
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    CVPR
    2008
    IEEE
    149views Computer Vision» more  CVPR 2008»
    On the use of independent tasks for face recognition
    15 years 2 months ago
    On the use of independent tasks for face recognition
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    We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
    Àgata Lapedriza, David Masip, Jordi Vitri&a...
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    CVPR
    2008
    IEEE
    164views Computer Vision» more  CVPR 2008»
    Integrated feature selection and higher-order spatial feature extraction for object categorization
    15 years 2 months ago
    Integrated feature selection and higher-order spatial feature extraction for object categorization
    Download  www.ece.northwestern.edu
    In computer vision, the bag-of-visual words image representation has been shown to yield good results. Recent work has shown that modeling the spatial relationship between visual ...
    David Liu, Gang Hua, Paul A. Viola, Tsuhan Chen
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    CVPR
    2004
    IEEE
    137views Computer Vision» more  CVPR 2004»
    Shaping Receptive Fields for Affine Invariance
    15 years 2 months ago
    Shaping Receptive Fields for Affine Invariance
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    The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
    S. Ravela
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    ICCV
    2009
    IEEE
    1611views Computer Vision» more  ICCV 2009»
    Packing bag-of-features
    15 years 5 months ago
    Packing bag-of-features
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    One of the main limitations of image search based on bag-of-features is the memory usage per image. Only a few million images can be handled on a single machine in rea- sonable ...
    Herve Jegou, Matthijs Douze, Cordelia Schmid
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    CVPR
    2009
    IEEE
    333views Computer Vision» more  CVPR 2009»
    On the burstiness of visual elements
    15 years 7 months ago
    On the burstiness of visual elements
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    Burstiness, a phenomenon initially observed in text re- trieval, is the property that a given visual element appears more times in an image than a statistically independent mode...
    Herve Jegou (INRIA), Matthijs Douze (INRIA), Corde...
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    CVPR
    2009
    IEEE
    1599views Computer Vision» more  CVPR 2009»
    Multi-Label Sparse Coding for Automatic Image Annotation
    15 years 7 months ago
    Multi-Label Sparse Coding for Automatic Image Annotation
    Download  1188936878133167308-a-1802744773732722657-s-sites.googlegroups.com
    In this paper, we present a multi-label sparse coding framework for feature extraction and classification within the context of automatic image annotation. First, each image is ...
    Changhu Wang (University of Science and Technology...
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