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    IJNSEC
    2008
    210views more  IJNSEC 2008»
    A Method for Locating Digital Evidences with Outlier Detection Using Support Vector Machine
    13 years 7 months ago
    A Method for Locating Digital Evidences with Outlier Detection Using Support Vector Machine
    Download  ijns.femto.com.tw
    One of the biggest challenges facing digital investigators is the sheer volume of data that must be searched in locating the digital evidence. How to efficiently locate the eviden...
    Zaiqiang Liu, Dongdai Lin, Fengdeng Guo
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    IFIP12
    2007
    164views Information Technology» more  IFIP12 2007»
    Patient Fall Detection using Support Vector Machines
    13 years 8 months ago
    Patient Fall Detection using Support Vector Machines
    Download  www.ait.gr
    This paper presents a novel implementation of a patient fall detection system that may be used for patient activity recognition and emergency treatment. Sensors equipped with accel...
    Charalampos Doukas, Ilias Maglogiannis, Philippos ...
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    VLDB
    2007
    ACM
    164views Database» more  VLDB 2007»
    A new intrusion detection system using support vector machines and hierarchical clustering
    14 years 7 months ago
    A new intrusion detection system using support vector machines and hierarchical clustering
    Download  www.utdallas.edu
    Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
    Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
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    ICPR
    2010
    IEEE
    260views Computer Vision» more  ICPR 2010»
    Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
    14 years 2 months ago
    Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
    Download  www.cadavidconcepts.com
    We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
    Steven Cadavid, Mohamed Abdel-Mottaleb
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    NAACL
    2003
    104views Computational Linguistics» more  NAACL 2003»
    Target Word Detection and Semantic Role Chunking using Support Vector Machines
    13 years 8 months ago
    Target Word Detection and Semantic Role Chunking using Support Vector Machines
    Download  www.bltek.com
    In this paper, the automatic labeling of semantic roles in a sentence is considered as a chunking task. We define a semantic chunk as the sequence of words that fills a semantic...
    Kadri Hacioglu, Wayne Ward
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