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    NIPS
    2003
    139views Information Technology» more  NIPS 2003»
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
    14 years 6 days ago
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
    Download  pillowlab.cps.utexas.edu
    Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
    Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
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    SOSP
    1997
    ACM
    129views Operating System» more  SOSP 1997»
    Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network
    14 years 5 days ago
    Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network
    Download  www.cs.rochester.edu
    Low-latency remote-write networks, such as DEC’s Memory Channel, provide the possibility of transparent, inexpensive, large-scale shared-memory parallel computing on clusters of...
    Robert Stets, Sandhya Dwarkadas, Nikos Hardavellas...
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    NAACL
    1994
    129views Computational Linguistics» more  NAACL 1994»
    Session 10: Government Panel
    14 years 4 days ago
    Session 10: Government Panel
    Download  acl.ldc.upenn.edu
    The Workshop included an extended group of presentations by selected US government agencies and an invited guest from the European Community. These presentations, amplified in the...
    Oscar N. Garcia
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    MVA
    1992
    188views Computer Vision» more  MVA 1992»
    The Programmable and Configurable Low Level Vision Unit of the HERMIA Machine
    14 years 5 hour ago
    The Programmable and Configurable Low Level Vision Unit of the HERMIA Machine
    Download  b2.cvl.iis.u-tokyo.ac.jp
    In this work the Low Level Vision Unit (LLVU) of the Heterogeneous and Reconfigurable Machine for Image Analysis (HERMIA) is described. The LLVU consists of the innovative integra...
    Gaetano Gerardi, Giancarlo Parodi
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    APVIS
    2009
    109views Information Technology» more  APVIS 2009»
    Visualizing time-varying features with TAC-based distance fields
    13 years 12 months ago
    Visualizing time-varying features with TAC-based distance fields
    Download  www.cse.ohio-state.edu
    To analyze time-varying data sets, tracking features over time is often necessary to better understand the dynamic nature of the underlying physical process. Tracking 3D time-vary...
    Teng-Yok Lee, Han-Wei Shen
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