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    MASCOTS
    1993
    171views Modeling And Simulation» more  MASCOTS 1993»
    Simulation Modeling of Weak-Consistency Protocols
    13 years 11 months ago
    Simulation Modeling of Weak-Consistency Protocols
    Download  users.soe.ucsc.edu
    : Weak-consistency replication protocols can be used to build wide-area services that are scalable, fault-tolerant, and useful for mobile computer systems. We have evaluated the ti...
    Richard A. Golding, Darrell D. E. Long
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    NIPS
    1994
    84views Information Technology» more  NIPS 1994»
    Phase-Space Learning
    13 years 11 months ago
    Phase-Space Learning
    Download  cseweb.ucsd.edu
    In this paper, we present an improved version of the online phase-space learning algorithm of Tsung and Cottrell (1995), called ARTISTE (Autonomous Real-TIme Selection of Training...
    Fu-Sheng Tsung, Garrison W. Cottrell
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    MVA
    1992
    105views Computer Vision» more  MVA 1992»
    Proposition of a Human Motion Tracking Method by Temporal-Spatial Segmentation in an Image Sequence
    13 years 11 months ago
    Proposition of a Human Motion Tracking Method by Temporal-Spatial Segmentation in an Image Sequence
    Download  b2.cvl.iis.u-tokyo.ac.jp
    In this paper, a ncw approach of a 3D human motion tracking mcthod in rcal time is proposed. The basis of thc nicthod is thc use of two scgrncntations, one temporal and the othcr ...
    Frédéric Elsner, Khaled Hacine, Nace...
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    BIOCOMP
    2009
    171views Bioinformatics» more  BIOCOMP 2009»
    Inferring Gene Regulatory Networks from Asynchronous Microarray Data
    13 years 11 months ago
    Inferring Gene Regulatory Networks from Asynchronous Microarray Data
    Download  dna.cs.byu.edu
    Modern approaches to treating genetic disorders, cancers and even epidemics rely on a detailed understanding of the underlying gene signaling network. Previous work has used time s...
    David Oviatt, Mark J. Clement, Quinn Snell, Kennet...
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    DICTA
    2009
    248views Applied Computing» more  DICTA 2009»
    SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
    13 years 11 months ago
    SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
    Download  www.cs.waikato.ac.nz
    Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
    Edmond Zhang, Michael Mayo
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