Results 251 to 260 of about 200,023 (268)

Subspace Segmentation by Correlation Adaptive Regression

IEEE Transactions on Circuits and Systems for Video Technology, 2018
Subspace segmentation aims to segment a given data set into clusters with each cluster corresponding to a subspace. Most recent works focus on subspace representation-based methods, which construct the affinity matrix based on the subspace representation of the data points.
Weiwei Wang, Binbin Zhang, Xiangchu Feng
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Boundary Regression for Human Vertebrae Segmentation

2019 9th International Conference on Advances in Computing and Communication (ICACC), 2019
The diagnosis and treatment of pathologies like Low back pain, Osteoporosis, Spondyflolisthesis etc. require detailed analysis of spinal images. Manual segmentation of vertebrae in spinal images is difficult. In this paper we discuss an automatic method for segmentation of vertebrae.
M.A Ancy Brigit, Dominic Mathew, Abraham Thomas   +2 more
openaire   +1 more source

Causal Segment Regression with Multiple Thresholds

Statistics and Computing
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Applications of segmented regression models for biomedical studies

American Journal of Physiology-Endocrinology and Metabolism, 1996
In many biological models, a relationship between variables may be modeled as a linear or polynomial function that changes abruptly when an independent variable obtains a threshold level. Usually, the transition point is unknown, and a major objective of the analysis is its estimation. This type of model is known as a segmented regression model.
N G, Berman, W K, Wong, S, Bhasin, E, Ipp   +3 more
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Deep feature regression (DFR) for 3D vessel segmentation

Physics in Medicine & Biology, 2019
The structural information of coronary arteries has important clinical value for quantitative diagnosis and treatment of coronary artery disease. In this study, a deep feature regression (DFR) method based on a convolutional regression network (CRN) and a stable point clustering mechanism for 3D vessel segmentation is proposed.
Jingliang Zhao, Danni Ai, Yang Yang, Hong Song, Yong Huang, Yongtian Wang, Jian Yang   +6 more
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Segmental phoneme recognition using piecewise linear regression

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
We propose an efficient, self-organizing segmental measurement based on piecewise linear regression (PLR) fit of the short-term measurement trajectories. The advantages of this description are: (i) it serves to decouple temporal measurements from the recognition strategy; and, (ii) it leads to lesser computation as compared with conventional methods ...
S. Krishnan, P.V. Rao
openaire   +1 more source

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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