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    ARVLSI
    1999
    IEEE
    162views VLSI» more  ARVLSI 1999»
    Conjunction Search Using a 1-D, Analog VLSI-based, Attentional Search/Tracking Chip
    13 years 11 months ago
    Conjunction Search Using a 1-D, Analog VLSI-based, Attentional Search/Tracking Chip
    Download  www.ece.umd.edu
    The ability of animals to select a limited region of sensory space for scrutiny is an important factor in dealing with cluttered or complex sensory environments. Such an attention...
    Timothy K. Horiuchi, Ernst Niebur
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    ICPR
    2008
    IEEE
    287views Computer Vision» more  ICPR 2008»
    Background subtraction technique based on chromaticity and intensity patterns
    14 years 1 months ago
    Background subtraction technique based on chromaticity and intensity patterns
    Download  figment.cse.usf.edu
    This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
    Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
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    ICMCS
    2005
    IEEE
    128views Multimedia» more  ICMCS 2005»
    Low-complexity automatic speaker recognition in the compressed GSM AMR domain
    14 years 1 months ago
    Low-complexity automatic speaker recognition in the compressed GSM AMR domain
    Download  www.cecs.uci.edu
    This paper presents an experimental implementation of a low-complexity speaker recognition algorithm working in the compressed speech domain. The goal is to perform speaker modeli...
    Matteo Petracca, Antonio Servetti, Juan Carlos De ...
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    IGPL
    2007
    125views more  IGPL 2007»
    Morph Moulder: Teaching Software for HPSG and Description Logics
    13 years 7 months ago
    Morph Moulder: Teaching Software for HPSG and Description Logics
    Download  www.sfs.uni-tuebingen.de
    The graphical software Morph Moulder (MoMo) presented here was originally created for teaching the logical foundations of Head-Driven Phrase Structure Grammar (HPSG) in an e-Learn...
    Ekaterina Ovchinnikova, Frank Richter
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    CVIU
    1999
    238views more  CVIU 1999»
    A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering
    13 years 7 months ago
    A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering
    Download  www.lems.brown.edu
    An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
    Jean-Philippe Tarel, Nozha Boujemaa
    posted by jptarel
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