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    » Efficient Anonymizations with Enhanced Utility
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    ICIP
    2005
    IEEE
    197views Image Processing» more  ICIP 2005»
    Improving particle filter with support vector regression for efficient visual tracking
    14 years 1 months ago
    Improving particle filter with support vector regression for efficient visual tracking
    Download  www.jdl.ac.cn
    —Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
    Guangyu Zhu, Dawei Liang, Yang Liu, Qingming Huang...
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    ECRTS
    2008
    IEEE
    151views Embedded Systems» more  ECRTS 2008»
    ORTEGA: An Efficient and Flexible Software Fault Tolerance Architecture for Real-Time Control Systems
    13 years 8 months ago
    ORTEGA: An Efficient and Flexible Software Fault Tolerance Architecture for Real-Time Control Systems
    Download  www.cs.mcgill.ca
    Fault tolerance is an important aspect in real-time computing. In real-time control systems, tasks could be faulty due to various reasons. Faulty tasks may compromise the performa...
    Xue Liu, Hui Ding, Kihwal Lee, Qixin Wang, Lui Sha
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    TCAD
    2010
    164views more  TCAD 2010»
    Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
    13 years 2 months ago
    Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
    Download  www.vlsi.uwaterloo.ca
    The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
    Javid Jaffari, Mohab Anis
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    LCN
    2005
    IEEE
    170views Computer Networks» more  LCN 2005»
    Constructing Efficient Multi-hop Mesh Networks
    14 years 1 months ago
    Constructing Efficient Multi-hop Mesh Networks
    Download  www.comnets.rwth-aachen.de
    The Wireless Channel-oriented Ad-hoc Multi-hop Broadband (W-CHAMB) is a new link layer protocol with the aim of being able to support Quality of Service (QoS) in multi-hop operati...
    Rui Zhao, Bernhard Walke, Michael Einhaus
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    KDD
    2007
    ACM
    191views Data Mining» more  KDD 2007»
    Privacy-Preserving Data Mining through Knowledge Model Sharing
    14 years 8 months ago
    Privacy-Preserving Data Mining through Knowledge Model Sharing
    Download  www.cs.utsa.edu
    Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
    Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
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