Results 21 to 30 of about 1,311,142 (167)
Multipass Active Contours for an Adaptive Contour Map
Sensors, 2013 Isocontour mapping is efficient for extracting meaningful information from a biomedical image in a topographic analysis. Isocontour extraction from real world medical images is difficult due to noise and other factors.
Kwang Nam Choi +4 more
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Land Surface Water Mapping Using Multi-Scale Level Sets and a Visual Saliency Model from SAR Images
ISPRS International Journal of Geo-Information, 2016 Land surface water mapping is one of the most basic classification tasks to distinguish water bodies from dry land surfaces. In this paper, a water mapping method was proposed based on multi-scale level sets and a visual saliency model (MLSVS), to ...
Chuan Xu, Haigang Sui, Feng Xu
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Review of Classification Methods on Unbalanced Data Sets
IEEE Access, 2021 This paper studies the classification of unbalanced data sets. First, this kind of data sets is briefly introduced, and then the classification methods of unbalanced data sets are analyzed in detail from different perspectives such as data sampling ...
Le Wang +4 more
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Note on the Concept of 𝜶 – Level Sets of Neutrosophic Set [PDF]
Neutrosophic Sets and Systems, 2020 Neutrosophic set is a unique concept endowed with unconnected degree of indeterminacy excluded in the non-classical sets it generalizes. This paper communicates shortly on the notions of 𝛼 - lower level and 𝛼 - upper level sets of a neutrosophic set ...
Johnson Awolola
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Characteristic Picture Fuzzy Sets and Level Subsets in UP (BCC)-Algebras
International Journal of Analysis and Applications, 2023 The eight new concepts of picture fuzzy sets in UP (BCC)-algebras are introduced by Kankaew et al. in 2022. This idea is extended to the lower and upper level subsets of picture fuzzy sets in UP (BCC)-algebras.
Pimwaree Kankaew +5 more
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Confidence sets for a level set in linear regression [PDF]
Statistics in MedicineRegression modeling is the workhorse of statistics and there is a vast literature on estimation of the regression function. It has been realized in recent years that in regression analysis the ultimate aim may be the estimation of a level set of the regression function, ie, the set of covariate values for which the regression function exceeds a ...
Fang Wan, Wei Liu, Frank Bretz
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Confidence regions for level sets
Journal of Multivariate Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mammen, Enno, Polonik, Wolfgang
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A novel fuzzy energy based level set method for medical image segmentation
Cogent Engineering, 2018 Segmentation is a very important step in the field of image processing. Noise and intensity inhomogeneity make challenging the segmentation of images, especially for medical images. Fuzzy C-means (FCM) clustering is one of the most widely used methods in
Mahipal Singh Choudhry, Rajiv Kapoor
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A Hesitant Soft Fuzzy Rough Set and its Applications
IEEE Access, 2019 The difficulty of establishing a common membership degree is not because there is a margin of error or some possibility distribution values, but because there is a set of possible values.
Ting Xie, Zengtai Gong
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Fenchel Problem of Level Sets [PDF]
Journal of Optimization Theory and Applications, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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