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» Performance modeling using Monte Carlo simulation
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155
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ECCV
2004
Springer
16 years 5 months ago
An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets
Abstract. We describe a Markov chain Monte Carlo based particle filter that effectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or be...
Zia Khan, Tucker R. Balch, Frank Dellaert
133
Voted
ICML
2009
IEEE
16 years 4 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
133
Voted
ISBI
2006
IEEE
16 years 4 months ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
120
Voted
VLSID
2007
IEEE
85views VLSI» more  VLSID 2007»
16 years 4 months ago
Metrics to Quantify Steady and Transient Gate Leakage in Nanoscale Transistors: NMOS vs. PMOS Perspective
In this paper we explore the use of a set of novel design metrics for characterizing the impact of gate oxide tunneling current in nanometer CMOS devices and perform Monte Carlo s...
Elias Kougianos, Saraju P. Mohanty
ICASSP
2010
IEEE
15 years 4 months ago
A robust minimum volume enclosing simplex algorithm for hyperspectral unmixing
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin...