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    EUSFLAT
    2007
    161views Fuzzy Logic» more  EUSFLAT 2007»
    On Additive and Multiplicative Fuzzy Models
    14 years 8 days ago
    On Additive and Multiplicative Fuzzy Models
    Download  www.eusflat.org
    Systems which use a fuzzy rule base and an inference mechanisms are quite frequently used in many applications. Fuzzy rules and inference mechanisms can be described by a system o...
    Martin Stepnicka, Bernard De Baets, Lenka Noskov&a...
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    HCI
    2007
    233views Human Computer Interaction» more  HCI 2007»
    Static and Dynamic Hand-Gesture Recognition for Augmented Reality Applications
    14 years 8 days ago
    Static and Dynamic Hand-Gesture Recognition for Augmented Reality Applications
    Download  www.mmk.ei.tum.de
    This contribution presents our approach for an instrumented automatic gesture recognition system for use in Augmented Reality, which is able to differentiate static and dynamic ges...
    Stefan Reifinger, Frank Wallhoff, Markus Abla&szli...
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    MVA
    2007
    137views Computer Vision» more  MVA 2007»
    Fingerprint Core and Delta Detection by Candidate Analysis
    14 years 8 days ago
    Fingerprint Core and Delta Detection by Candidate Analysis
    Download  b2.cvl.iis.u-tokyo.ac.jp
    This paper presents a new reliable detection of core and delta in fingerprints by candidate analysis. The line search based method, which is one of the reliable approaches to dete...
    Tomohiko Ohtsuka, Daisuke Watanabe, Hiroyuki Aoki
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    GIS
    2008
    ACM
    153views Automated Reasoning» more  GIS 2008»
    Snapshot location-based query processing on moving objects in road networks
    13 years 12 months ago
    Snapshot location-based query processing on moving objects in road networks
    Download  eiger.ddns.comp.nus.edu.sg
    Location-based services are increasingly popular and it is a key challenge to efficiently support query processing. We present a novel design to process large numbers of location...
    Haojun Wang, Roger Zimmermann
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    ICML
    2010
    IEEE
    181views Machine Learning» more  ICML 2010»
    Learning Markov Logic Networks Using Structural Motifs
    13 years 12 months ago
    Learning Markov Logic Networks Using Structural Motifs
    Download  www.cs.washington.edu
    Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
    Stanley Kok, Pedro Domingos
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