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Convex Hull

Remote Sensing Image Matching Using Contourlet-Based Key Points Descriptors and Convex Hull Regions

Remote Sensing Image Matching Using Contourlet-Based Key Points Descriptors and Convex Hull Regions

... and convex hull regions algorithm is ...Consequently, convex hull regions are created from Delaunay triangulation of the key points of the rectified ...

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Ensembles Method For One Class Classification Using Convex Hull Polytope Model

Ensembles Method For One Class Classification Using Convex Hull Polytope Model

... Data classification is the categorization of data for its most effective and efficient use. Data classification is a two-step process: 1.Learning (Model Construction) 2.Classification (Model Usage). In the first step, a ...

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An Efficient Method of Bit Plane Filtering Algorithm using Convex Hull of Medical Images

An Efficient Method of Bit Plane Filtering Algorithm using Convex Hull of Medical Images

... ABSTRACT: The importance of the image analysis with respect to industrial, medical, satellite image processing applications is gaining attention of many researchers in recent times. The recognition of faults present in ...

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Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms

Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms

... 3-D convex hull based evolutionary multiobjective optimization algorithm (3DCH-EMOA) is ...3-D convex hull (3DCH) based sorting without redundancy approach is used to rank the individuals into ...

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An Isomorphic New Algorithm for Finding Convex Hull with a Maximum Pitch of the Dynamical Base Line Guided by Apexes Distributing Characteristics

An Isomorphic New Algorithm for Finding Convex Hull with a Maximum Pitch of the Dynamical Base Line Guided by Apexes Distributing Characteristics

... [10] Zhou Qihai, Huang Tao, Wu Hongyu, Li Zhongjun, Lin Xun. A New Algorithm for Finding Convex Hull with a Maximum Pitch of the Dynamical Base Line. In: Proceedings of The first International Workshop on ...

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Modified Convex Hull Algorithm For Recovering Smashed Wireless Sensor Networks

Modified Convex Hull Algorithm For Recovering Smashed Wireless Sensor Networks

... for convex hull algorithm is quite significant. Therefore, convex hull algorithm produces topologies with balanced traffics and reduced latency, load balancing, because it yields better ...

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Monte Carlo convex hull model for classification of traditional Chinese paintings

Monte Carlo convex hull model for classification of traditional Chinese paintings

... In comparison with the existing techniques reported in the literature, the contributions of our proposed algorithm described in this paper can be highlighted as: (i) analysis of visual cues inside traditional Chinese ...

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Extreme value statistics from Lagrangian convex hull analysis for homogeneous turbulent Boussinesq convection and MHD convection

Extreme value statistics from Lagrangian convex hull analysis for homogeneous turbulent Boussinesq convection and MHD convection

... the convex hull to indicate different regimes of turbulent transport, the tests above also yield information about the dynamics of the turbulent velocity ...dispersing convex hull vertices and ...

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Local cuts and two-period convex hull closures for big-bucket lot-sizing problems

Local cuts and two-period convex hull closures for big-bucket lot-sizing problems

... the convex hull of the single-machine, single-level, multi- period capacitated problems are necessary to get better results on general lot-sizing ...the convex hull of this model by ...

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Gilbert-Johnson-Keerthi Algorithm for Computing the Shortest Distance between Two 2D Convex Hull Polygons Based on Andrew’s Monotone Chain Hull Algorithm

Gilbert-Johnson-Keerthi Algorithm for Computing the Shortest Distance between Two 2D Convex Hull Polygons Based on Andrew’s Monotone Chain Hull Algorithm

... geometric convex shapes (Gilbert and Foo 1990), while, in 2001 some researchers introduced paper involving an algorithm to determine the shortest Euclidean distance made by GJK between convex polyhedral ...

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The induced metric on the boundary of the convex hull of a quasicircle in hyperbolic and anti de Sitter geometry

The induced metric on the boundary of the convex hull of a quasicircle in hyperbolic and anti de Sitter geometry

... are convex subsets CH(C) ⊂ E(C) ⊂ A d S 3 , where the convex hull CH(C) is the unique smallest closed convex subset accumulating on C at infinity, and the invisible domain E(C) is the unique ...

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Degraded Documents Recovering by Using Adaptive Binarizations and Convex Hull Concept

Degraded Documents Recovering by Using Adaptive Binarizations and Convex Hull Concept

... The method is to first calculate the Distance Transform (DT) of the binary image. Distance Transform is shown for an object point at a distance from the pixel to the nearest background paint. At first Distance Transform ...

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PAV and the ROC convex hull

PAV and the ROC convex hull

... where slope is the slope of the segment on the convex hull of the original classifier the instance belongs to and skew is the ratio of positive to negative cases in the training set. Proof To prove the ...

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A Fast Convex Hull Algorithm for Binary Image

A Fast Convex Hull Algorithm for Binary Image

... the convex hull of each group, respectively. The entire convex hull was finally obtained by computing the union of the ...planar convex hull algorithms. As for dynamic planar ...

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Sweep Line Algorithm for Convex Hull Revisited

Sweep Line Algorithm for Convex Hull Revisited

... to convex hull of a finite set P of n points in plane, imagine as some nails in a wall and their convex hull is a rubber drain that surrounds them ...of convex hull of P: ...

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Nearest convex hull classification

Nearest convex hull classification

... where convex-hull overlap between x and a given class is penalized ...to convex-hull overlaps, one could map the training data from the original space into a higher-dimensional space where ...

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INFORMATION MINING: DEVELOPING AN IMPROVISED AUGMENTED DENCLUE MODEL FOR ENHANCED CALCULATION USING K-MEANS BASED CONVEX HULL TRIANGULATION GROUPING CALCULATION(KBCHT)

INFORMATION MINING: DEVELOPING AN IMPROVISED AUGMENTED DENCLUE MODEL FOR ENHANCED CALCULATION USING K-MEANS BASED CONVEX HULL TRIANGULATION GROUPING CALCULATION(KBCHT)

... Data Clustering is a standout amongst the most vital issues in information mining and machine learning. Bunching is an assignment of finding homogenous gatherings of the examined articles. As of late, numerous analysts ...

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Convex hull ranking algorithm for multi-objective evolutionary algorithms

Convex hull ranking algorithm for multi-objective evolutionary algorithms

... the convex hull and non-dominated solutions, and discuss the complexity time of the convex hull and non-dominated sorting ...use convex hull concepts to present a new ranking ...

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Simulation of Mouse using Image Processing Via Convex Hull Method

Simulation of Mouse using Image Processing Via Convex Hull Method

... A convex hull algorithm for Hand detection and gesture recognition can be used in many helpful applications, implementation of some efficient techniques and algorithms to detect hand gestures to be able to ...

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Determination of the Convex Hull of a Radiating System in a Heterogeneous Background

Determination of the Convex Hull of a Radiating System in a Heterogeneous Background

... the convex hull finding technique presented and experimentally verified in [8, 11, 12] has been formulated in the case of homogeneous backgrounds in the sense that both the observed system and the ...

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