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Segmentation of ARX-models using sum-of-norms regularization
Segmentation Regularization ARX-models
2015/8/7
Segmentation of time-varying systems and signals into models whose parameters are piecewise constant in time is an important and well studied problem. It is here formulated as a least-squares problem ...
A RVR-based Method for Bias Field Estimation in Brain Magnetic Resonance Images Segmentation
A RVR-based Method Bias Field Estimation Brain Magnetic Resonance Images Segmentation
2018/4/19
Abstract— This paper presents a relevance vector regression (RVR) based parametric approach to the bias field estimation in brain magnetic resonance (MR) image segmentation. Segmentation is a very imp...
A Geometric Flow Approach for Region-based Image Segmentation
A Geometric Flow Approach Region-based Image Segmentation
2012/8/10
Geometric flows have been successfully used for surface
modeling and designing, largely because they are inher-
ently good at controlling geometric shape evolution. Vari-
ational image segmentation...
Measurement of phase synchrony of coupled segmentation clocks
Delta-notch coupling phase synchrony Hilbert transform
2010/12/28
The temporal behaviour of segmentation clock oscillations show phase synchrony via mean
field like coupling of delta protein restricting to nearest neighbours only, in a configuration
of cells arran...
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees
spectral clustering affinity matrix learning rank minimization robust estimation
2010/12/16
Recently there is a line of research work proposing to employ Spectral Clustering (SC) to segment (group)1 highdimensional structural data such as those (approximately) lying on subspaces2 or low-dime...
New multi-domains image watermarking method based on multi-watermarks embedding and neural network segmentation
Image watermarking Neural network segmentation
2010/9/15
The need for a robust method that protects owner rights against unintended or malicious stealing, which has arisen because of the rapid increase of Internet data exchange and multimedia use, in additi...
A new texture segmentation method based on the fuzzy C-mean algorithm and statistical features
Texture analysis Fuzzy C-Means algorithm
2010/9/16
The segmentation of textured images is a fundamental problem in image processing and pattern recognition, which has been addressed for different applications with several methods. In this paper, the p...