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    IJCV
    2008
    188views more  IJCV 2008»
    Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
    13 years 10 months ago
    Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
    Download  perception.inrialpes.fr
    The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
    Elise Arnaud, Étienne Mémin
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    CCR
    2007
    69views more  CCR 2007»
    The state of peer-to-peer simulators and simulations
    13 years 10 months ago
    The state of peer-to-peer simulators and simulations
    Download  ccr.sigcomm.org
    In this paper, we discuss the current situation with respect to simulation usage in P2P research, testing the available P2P simulators against a proposed set of requirements, and ...
    S. Naicken, B. Livingston, Anirban Basu, S. Rodhet...
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    IEICET
    2006
    80views more  IEICET 2006»
    Virtual Subcarrier Assignment (VISA) for Spatial Filtering of OFDM Signals
    13 years 10 months ago
    Virtual Subcarrier Assignment (VISA) for Spatial Filtering of OFDM Signals
    Download  www.soumu.go.jp
    In OFDM (Orthogonal Frequency Division Multiplexing)-based wireless systems, when we employ an array antenna at receive side, SDMA (Space Division Multiple Access) can be easily r...
    Shinsuke Hara, Yunjian Jia
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    IOR
    2008
    103views more  IOR 2008»
    Portfolio Credit Risk with Extremal Dependence: Asymptotic Analysis and Efficient Simulation
    13 years 10 months ago
    Portfolio Credit Risk with Extremal Dependence: Asymptotic Analysis and Efficient Simulation
    Download  www.tcs.tifr.res.in
    We consider the risk of a portfolio comprised of loans, bonds, and financial instruments that are subject to possible default. In particular, we are interested in performance meas...
    Achal Bassamboo, Sandeep Juneja, Assaf J. Zeevi
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    CSDA
    2007
    126views more  CSDA 2007»
    A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
    13 years 10 months ago
    A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
    Download  www4.stat.ncsu.edu
    This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
    Yongqiang Tang, Subhashis Ghosal
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