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» Analysis of Surfaces Using Constrained Regression Models
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ESANN
2006
14 years 11 months ago
Classification by means of Evolutionary Response Surfaces
Abstract. Response surfaces are a powerful tool for both classification and regression as they are able to model many different phenomena and construct complex boundaries between c...
Rafael del Castillo Gomariz, Nicolás Garc&i...
64
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ACCV
2010
Springer
14 years 4 months ago
Estimating Meteorological Visibility Using Cameras: A Probabilistic Model-Driven Approach
Estimating the atmospheric or meteorological visibility distance is very important for air and ground transport safety, as well as for air quality. However, there is no holistic ap...
Nicolas Hautière, Raouf Babari, Eric Dumont...
MA
2010
Springer
172views Communications» more  MA 2010»
14 years 8 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
VIS
2007
IEEE
111views Visualization» more  VIS 2007»
15 years 11 months ago
Construction of Simplified Boundary Surfaces from Serial-sectioned Metal Micrographs
We present a method for extracting boundary surfaces from segmented cross-section image data. We use a constrained Potts model to interpolate an arbitrary number of region boundar...
Scott E. Dillard, John F. Bingert, Dan Thoma, B...
61
Voted
CVPR
2010
IEEE
15 years 5 months ago
Estimating Optical Properties of Layered Surfaces Using the Spider Model
Many object surfaces are composed of layers of different physical substances, known as layered surfaces. These surfaces, such as patinas, water colors, and wall paintings, have mo...
Tetsuro Morimoto, Robby Tan, Rei Kawakami, Katsush...