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    ICVGIP
    2008
    130views Computer Vision» more  ICVGIP 2008»
    Audio-Visual Person Authentication with Multiple Visualized-Speech Features and Multiple Face Profiles
    13 years 9 months ago
    Audio-Visual Person Authentication with Multiple Visualized-Speech Features and Multiple Face Profiles
    Download  cseweb.ucsd.edu
    We present an Audio-visual person authentication system which extracts several novel "VisualizedSpeech-Features" (VSF) from the spoken-password and multiple face profile...
    Amitava Das, Ohil K. Manyam, Makarand Tapaswi
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    TIP
    2008
    169views more  TIP 2008»
    Weakly Supervised Learning of a Classifier for Unusual Event Detection
    13 years 7 months ago
    Weakly Supervised Learning of a Classifier for Unusual Event Detection
    Download  hci.iwr.uni-heidelberg.de
    In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
    Mark Jager, Christian Knoll, Fred A. Hamprecht
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    MLDM
    2007
    Springer
    203views Machine Learning» more  MLDM 2007»
    Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
    14 years 1 months ago
    Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
    Download  www.ibai-publishing.org
    The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
    Konstantinos Zagoris, Nikos Papamarkos, Ioannis Ko...
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    MVA
    2000
    122views Computer Vision» more  MVA 2000»
    Unsupervised Classification of X-Ray Mapping Images of Polished Sections
    13 years 9 months ago
    Unsupervised Classification of X-Ray Mapping Images of Polished Sections
    Download  www.cvl.iis.u-tokyo.ac.jp
    X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
    Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...
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    CVPR
    2001
    IEEE
    464views Computer Vision» more  CVPR 2001»
    Rapid Object Detection using a Boosted Cascade of Simple Features
    14 years 9 months ago
    Rapid Object Detection using a Boosted Cascade of Simple Features
    Download  research.microsoft.com
    This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
    Paul A. Viola, Michael J. Jones
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