Searching for "J-splines." – sorted by Relevance.
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#include void nag_1d_spline_intg(Nag_Spline *spline, double *integral, - to which memory of size spline.n must be allocated. spline.lamda[j ,1] must be set to the value of the jth
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Ringing subdivision of curves and surfaces
- ], which we call J-splines, and which may be defined using parameterized versions of the b and f functions
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Dewarping of document image by global optimization
- the fitting of H splines, J = H� {f(θi|i)+ωλ(θi,θi−1)} , (2) i=1 where θi =(αi,βi,γi) and ω is a positive
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SUPANOVA A Sparse, Transparent Modelling Approach
- , the univariate terms are given by, ( ) ( ) �� b = SVs j i j spline i j z x K z m , , (11) and the bi
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Bayesian Varying-coefficient Models using Adaptive Regression Splines
- and 1993). The estimates ^ f j of this approach are given as weighted cubic smoothing splines
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Constrained Monotone Regression Of Roc Curves And Histograms Using Splines And Polynomials
- ; b]; is called a spline function of degree k ? 0; having as knots the strictly increasing sequence j
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Shape-preserving Knot Removal
- quadratic spline in S 1 2 (\Delta j ), where \Delta j is obtained from \Delta by replacing �� j+1 and �� j
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Matrix-valued subdivision schemes for generating surfaces with extraordinary vertices
- Figure 5: Layers x j m When a “generalized” B-spline subdivision is used to generate subdivision surfaces
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A Parallel Feature Tracker for Extended Image sequences
- List of Figures 1 Displacement spline: the spline control vertices f(u j ; v j )g are shown
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Comments on Polynomial Splines and Their Tensor Products in Extended Linear Modeling
- to handle this problem. One needs to expand f j into spline bases and optimize the parameters subject
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