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    ACNS
    2004
    Springer
    128views Cryptology» more  ACNS 2004»
    A Novel Framework for Alert Correlation and Understanding
    14 years 3 months ago
    A Novel Framework for Alert Correlation and Understanding
    Download  research.microsoft.com
    Abstract. We propose a novel framework named Hidden Colored PetriNet for Alert Correlation and Understanding (HCPN-ACU) in intrusion detection system. This model is based upon the ...
    Dong Yu, Deborah A. Frincke
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    AIPS
    2000
    107views Artificial Intelligence» more  AIPS 2000»
    On-line Scheduling via Sampling
    13 years 11 months ago
    On-line Scheduling via Sampling
    Download  www.aaai.org
    1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...
    Hyeong Soo Chang, Robert Givan, Edwin K. P. Chong
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    CCS
    2005
    ACM
    114views Security Privacy» more  CCS 2005»
    Keyboard acoustic emanations revisited
    14 years 3 months ago
    Keyboard acoustic emanations revisited
    Download  www.cs.berkeley.edu
    We examine the problem of keyboard acoustic emanations. We present a novel attack taking as input a 10-minute sound recording of a user typing English text using a keyboard, and t...
    Li Zhuang, Feng Zhou, J. D. Tygar
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    MVA
    2007
    179views Computer Vision» more  MVA 2007»
    Multi-object trajectory tracking
    13 years 9 months ago
    Multi-object trajectory tracking
    Download  users.soe.ucsc.edu
    The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
    Mei Han, Wei Xu, Hai Tao, Yihong Gong
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    ICCV
    2009
    IEEE
    401views Computer Vision» more  ICCV 2009»
    Evaluating Information Contributions of Bottom-up and Top-down Processes
    15 years 2 months ago
    Evaluating Information Contributions of Bottom-up and Top-down Processes
    Download  www.stat.ucla.edu
    This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
    Xiong Yang, Tianfu Wu, Song-Chun Zhu
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