Gaussian Curvature
ON THE COMPARISON OF STATISTICAL CURVATURE WITH GAUSSIAN CURVATURE
... statistical curvature to measure the shape of a one-parameter exponential ...statistical curvature with the classical Gaussian ...defined curvature has greatly reduced the quantities of ...
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A novel variational model for image registration using Gaussian curvature
... Figure 3: Test 1 (X-ray hand). Illustration of the effectiveness of Gaussian curvature with smooth problems. On the top row, from left to right: (a) template, (b) reference and (c) the difference before ...
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Endpoint Detection of Partially Overlapping Straight Fibers using High Positive Gaussian Curvature in 3D images
... the Gaussian curvature is computed by applying a formula based on first and second fundamental ...all curvature values of a one voxel thick surface layer are ...
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Image Filter Using with Gaussian Curvature and Total Variation Model
... the Gaussian Curvature filter and Total Variation filter have some merits and ...gauss curvature operator as described above in algorithm I, after that algorithm we have applied the algorithm of ...
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Finding Gaussian Curvature of Lifespan Distribution
... inverse Gaussian model and lognormal model, and then standardized these moments to find the best linear unbiased predicted sequences ...the Gaussian curvature: Step 1—compute the coefficients of the ...
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On Finding Geodesic Equation of Normal Distribution and Gaussian Curvature
... K = . The cylinder can be unwound to a plane without changing the distances locally. The sphere is the standard example for a surface with a constant curva- ture. Their tangent planes never cut the surface. Hyperbolic ...
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Geodesic on surfaces of constant Gaussian curvature
... Given a point p on a regular surface S, there are two unit vectors of R 3 that are normal to the tangent plane Tp (S)-, each of them is called a unit normal vector at p.[r] ...
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Riemannian Geometry Of The Curvature Tensor
... Consider U a split region, so C = 0 on U . By the de Rham-type splitting result of [FZ16, PR93], we know that U i is isometrically the product of Σ × R for some surface Σ with Gaussian curvature −1. Each ...
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Design and Development of an Electronic Sensor to Detect and Measure Curvature of Spaces Using Curvature Energy
... as curvature of the surface or body (reading of the ...of curvature, the obtained one by the Gaussian curvature, which involves from the mathematical point of view curvatures along geodesic, ...
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COMPUTING CURVATURE AND CURVATURE NORMALS ON SMOOTH LOGICALLY CARTESIAN SURFACE MESHES
... own curvature at that ...mean curvature is the average of the two principle curvatures and it locally describes the embedded surface in the underlying space, which for us will always be Euclidean ...space. ...
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Autonomous and Mobile Prototype of Curvature Sensor with Remote Reliable Communication of Spectral Curvature
... mobile curvature sensor, further- more considering the elimination of possible vibrations that can be transmitted to the mobile curvature sensor due to the proper ground, and that could be included as noise ...
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Gaussian and non-Gaussian models for financial bubbles via econophysics
... As an empirical application we look at daily prices of the FTSE 100 from March 2nd 2009 to October 29th 2010 to try and determine whether or not the Bank of England’s policy of quantitative easing has coincided with, and ...
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Properties And Experimental Of Gaussian And Non Gaussian Time Series Model
... with Gaussian and non Gaussian mixed ...of Gaussian and non- Gaussian mixed with identification methods of ARMA (1, 1) model with derived the characteristic function of moments for Skeweness ...
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The Decision Statistics of the Gaussian Signal against Correlated Gaussian Interferences
... fast-fluctuating Gaussian random process, then the simplified expression for the logarithm of the functional of the likelihood ratio can be obtained by means of the introduced procedure, based on neglecting the ...
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Adaptive Detection in Compound-Gaussian Clutter with Inverse Gaussian Texture
... Consequently, for the sake of accurately describing the distribution of the HR clutter to avoid the deterioration of the detection performance, the numerous research efforts are devoted to both the theoretical modeling ...
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The Gaussian Beam Summation and the Gaussian Launching Methods in Scattering Problem
... the Gaussian beam summation tech- nique in electromagnetic simulations ...problem. Gaussian beams are asymptotic solu- tions of the Helmholtz equation within the paraxial ...on Gaussian beam are used ...
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Gaussian and non Gaussian models for financial bubbles via econophysics
... In this section we derive and solve a Gaussian model for financial bubbles, our approach later serving to motivate a non-Gaussian model in Section 3. An alternate formulation of the basic model in [3] leads ...
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Intrinsic DNA curvature in trypanosomes
... intracellular amastigote and the infective bloodstream trypomastigote. In contrast, T. brucei is exclusively extra- cellular, alternating between the procyclic form in the tsetse fly and the bloodstream form in the ...
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Gaussian Barebones Differential Evolution with Random type Gaussian Mutation Strategy
... Differential evolution (DE) algorithm, proposed by Storn and Price in 1995, is a simple yet powerful evolutionary algorithm (EA) for global optimization problems in the continuous search domain [1]. The performance of DE ...
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Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model
... joint Gaussian distribution. However, Gaussian BP is only guaranteed to converge in singly connected graphs and may fail to converge in loopy ...of Gaussian BP are all tailored for one par- ticular ...
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