Results 231 to 240 of about 82,789 (258)

Image segmentation by correlation adaptive weighted regression

Neurocomputing, 2017
Abstract Image segmentation aims to partition an image into several disjoint regions with each region corresponding to a visual meaningful object. It is a fundamental problem in image processing and computer vision. Recently, subspace clustering methods shows great potential in image segmentation.
Weiwei Wang, Cuiling Wu
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A Regression Model for Market Segmentation Studies

Journal of Marketing Research, 1980
A model is developed for incorporating the long-standing marketing research effort of explaining variation in observed consumption behavior into the more recent notion that such behavior has an inherent component of randomness. The model recognizes that consumption behavior on any given occasion will fluctuate around some mean consumption level and ...
Albert R. Wildt, John M. Mccann
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Consumer benefit segmentation using clusterwise linear regression

International Journal of Research in Marketing, 1989
Abstract A generalization of the Clusterwise Linear Regression method is proposed for benefit segmentation. The segments found comprise consumers that attribute the same importance to perceived product dimensions in the formation of preference. The method is particularly useful when consumers' evoked sets of products are small and collinearity ...
Wedel, M., Kistemaker, C.
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Spontaneous Regression of Segmental Arterial Mediolysis

Journal of Vascular and Interventional Radiology, 2020
Lawrence F, Pupulim, Sylvain, Terraz
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Regression Segmentation for M³ Spinal Images.

IEEE transactions on medical imaging, 2016
Clinical routine often requires to analyze spinal images of multiple anatomic structures in multiple anatomic planes from multiple imaging modalities (M(3)). Unfortunately, existing methods for segmenting spinal images are still limited to one specific structure, in one specific plane or from one specific modality (S(3)).
Zhijie, Wang, Xiantong, Zhen, KengYeow, Tay, Said, Osman, Walter, Romano, Shuo, Li   +5 more
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Segmente der Welthandelsflotte: Eine Seemingly-Unrelated-Regressions-Analyse [PDF]

, 2008
This paper examines the development of the most important segments of the world mer-chant fleet. Suitable factors which influence the dynamics of the different ship types significantly are identified by different estimation procedures within the scope of a SUR- analysis.
Jost, Timo, Schulze, Peter M.
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Segmented concave least squares: A nonparametric piecewise linear regression

European Journal of Operational Research, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fitting Segmented Regression Models by Grid Search

Applied Statistics, 1980
SUMMARY A grid-search method of fitting segmented regression curves with unknown transition points is described and compared with a standard method. It is shown to be suitable for fitting a wider class of models than the standard method and to provide as a by-product a way of making reliable inferences about the abscissae of the transitions.
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CT Prostate Deformable Segmentation by Boundary Regression

2014
Automatic and accurate prostate segmentation from CT images is challenging due to low image contrast, uncertain organ motion, and variable organ appearance in different patient images. To deal with these challenges, we propose a new prostate boundary detection method with a boundary regression strategy for prostate deformable segmentation.
Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen   +3 more
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Asymptotic inference for segmented regression models

2008
This thesis deals with the estimation of segmented multivariate regression models. A segmented regression model is a regression model which has different analytical forms in different regions of the domain of the independent variables. Without knowing the number of these regions and their boundaries, we first estimate the number of these regions by ...
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