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» McPOWER: a Monte Carlo approach to power estimation
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ICASSP
2011
IEEE
14 years 5 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
CSDA
2006
142views more  CSDA 2006»
15 years 1 months ago
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
Xibin Zhang, Maxwell L. King, Rob J. Hyndman
CMSB
2008
Springer
15 years 3 months ago
A Model Checking Approach to the Parameter Estimation of Biochemical Pathways
Model checking has historically been an important tool to verify models of a wide variety of systems. Typically a model has to exhibit certain properties to be classed `acceptable&...
Robin Donaldson, David Gilbert
PAMI
2006
183views more  PAMI 2006»
15 years 1 months ago
A Model-Based Approach for Estimating Human 3D Poses in Static Images
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
Mun Wai Lee, Isaac Cohen
PG
2007
IEEE
15 years 7 months ago
Lighting Details Preserving Photon Density Estimation
Standard density estimation approaches suffer from visible bias due to low-pass filtering of the lighting function. Therefore, most photon density estimation methods have been us...
Robert Herzog, Hans-Peter Seidel