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2017 Workshop on Spline Approximation and its Applications
2017 Workshop Spline Approximation and its Applications
2017/11/24
Spline functions are polynomials that are cut into pieces with care. Although spline functions date back to work of Euler and Bernoulli, it was Iso Schoenberg who began to study them in earnest. In la...
PENALIZED SPLINE:A GENERAL ROBUST TRAJECTORY MODEL FOR ZIYUAN-3 SATELLITE
Penalized Spline Trajectory Model ZiYuan-3 Satellite Band-to-band Registration Multispectral Images
2016/7/4
Owing to the dynamic imaging system, the trajectory model plays a very important role in the geometric processing of high resolution satellite imagery. However, establishing a trajectory model is diff...
Using B-spline surfaces for chromatic attachment of digital orthophotos
Using B-spline surfaces chromatic attachment digital orthophotos
2016/5/20
Since the eighties, there has been a significant evolution of photogrammetric systems for the production of digital orthophotos. All the various procedures for the generation of orthophotos (for examp...
USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA
Land Use Change Data Mining Multivariate Adaptive Regression Spline Artificial Neural Network Receiver Operating Characteristic
2016/1/15
Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subse...
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS
ADAPTIVE SPLINE ESTIMATES NONPARAMETRIC REGRESSION MODELS
2015/8/25
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS.
SAR IMAGE SEGMENTATION THROUGH B-SPLINE DEFORMABLE CONTOURS AND FRACTAL DIMENSION
change detection classifi cation edge extraction
2015/6/1
Synthetic Aperture Radar (SAR) images are usually corrupted by a signal-dependent non-additive noise called speckle.
This makes difficult the segmentation, object identification, and feat...
ADAPTIVE TRANSFORMATION OF CARTOGRAPHIC BASES BY MEANS OF MULTIRESOLUTION SPLINE INTERPOLATION
cartography GIS integration algorithms multiresolution vector
2015/6/1
GIS databases often need to include maps from diverse sources. These can differ one another by many characteristics: different projections or reference systems, (slightly) different scales, etc. Theor...
Cubic Spline Trajectory Generation with Axis Jerk and Tracking Error Constraints
Cubic spline trajectory conned jerk PID controller tracking error minimum time
2013/9/9
This paper presents a cubic spline trajectory generation algorithm that produces continuous position, velocity, and acceleration proˉles for 3-axis CNC machines with conˉned axis jerk and tracking err...
Linear system identification using stable spline kernels and PLQ penalties
linear system identification bias-variance trade off kernel-based regularization robust statistics interior point methods piecewise linear quadratic densities
2013/4/27
The classical approach to linear system identification is given by parametric Prediction Error Methods (PEM). In this context, model complexity is often unknown so that a model order selection step is...
A Cubic Spline Method for Solving a Unilateral Obstacle Problem
Obstacle Problem Spline Collocation Nonsmooth Equation Generalized Newton Method
2013/1/30
This paper, we develop a numerical method for solving a unilateral obstacle problem by using the cubic spline collocation method and the generalized Newton method. This method converges quadratically ...
Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data
Bivariate current status data constrained maximum likelihood estimation empirical process sieve maximum likelihood estimation tensor spline basis functions
2012/11/23
The analysis of the joint cumulative distribution function (CDF) with bivariate event time data is a challenging problem both theoretically and numerically. This paper develops a tensor spline-based s...
Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations
Adaptive smoothing Markov chain Monte Carlo Smoothing spline Stochastic dierential equation
2012/11/22
The smoothing spline is one of the most popular curve-fitting methods, partly because of empirical evidence supporting its effectiveness and partly because of its elegant mathematical formulation. How...
Nonconcave Penalized Spline
Splines Nonparametric regression Non-concave penalized least square Power-basis Knots selection Additive model.
2012/11/22
Regression spline is a useful tool in nonparametric regression. However, finding the optimal knot locations is a known difficult problem. In this article, we introduce the Non-concave Penalized Regres...
Spline Smoothing for Estimation of Circular Probability Distributions via Spectral Isomorphism and its Spatial Adaptation
Non-parametric density estimation circular data Smoothing Spline empirical Fourier coeffcients Fourier Basis Detection of Localisation Edge preserving function estima-tion
2012/11/22
Consider the problem when $X_1,X_2,..., X_n$ are distributed on a circle following an unknown distribution $F$ on $S^1$. In this article we have consider the absolute general set-up where the density ...
Asymptotics for penalized spline estimators in quantile regression
Asymptotic normality, B-spline,Penalized spline,Quantile regression
2012/11/22
Quantile regression predicts the $\tau$-quantile of the conditional distribution of a response variable given the explanatory variable for $\tau\in(0,1)$. The aim of this paper is to establish the asy...